Home 
How Blumble Works 
Search Algorithm 
Your Privacy 
About 
Facebook
Twitter
Blog
Most recent job postings at nvidia
via Workday
posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
We are now looking for a Senior Memory System Architect! NVIDIA is seeking enthusiastic candidates for our growing Memory System Architecture Team! This team drives memory system architecture in products tailored to NVIDIA’s world changing SOCs for deep learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming. What You Will Be Doing: Driving development of... architecture and micro-architecture to improve the state-of-the-art
We are now looking for a Senior Memory System Architect! NVIDIA is seeking enthusiastic candidates for our growing Memory System Architecture Team! This team drives memory system architecture in products tailored to NVIDIA’s world changing SOCs for deep learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming. What You Will Be Doing: Driving development of... architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule. Performance modeling and simulation of features to improve memory system performance and efficiency. Implementing and maintaining high-level functional and performance models. Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations. Debugging performance and functional issues with high-level models, RTL simulation, and silicon. Location: Durham NC, Santa Clara CA, or Austin TX What we need to see: M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience. 2+ years experience in SoC or memory system architecture or performance Deep understanding of memory subsystems – caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation Strong communication and interpersonal skills along with the ability to work in a dynamic, product oriented, distributed team. Exposure/coursework related to Digital systems and VLSI design, Computer Architecture, C/C++ programming languages. Software development experience with C++, python and/or perl. Verilog or SV/UVM are a plus. Ways To Stand Out from a Crowd: Significant experience with performance modeling or performance verification. Experience debugging and solving complex performance issues. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer? If so, we want to hear from you! The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
via Workday
posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from... artificial intelligence to autonomous cars. NVIDIA
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from... artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. As a senior engineer of our Software Quality Assurance (QA) team, you will orchestrate the process of Software Quality for our CAD tools and flows. We develop and support flows for all of NVIDIA's semiconductor products. In addition, CAD group also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. Below are some of the CAD teams' activities. We are a diverse team, looking for someone who is not afraid of a challenge. If this is you, come join us today. What you will be doing: Architecting highly automated and customizable Software Quality process for design flows using software engineering with modular design and object-oriented techniques. Crafting test plans, identifying, and writing test cases based on the user requirements, and providing automation of testing. Performing Code reviews, static analysis, and dynamic testing. Continuously delivering high quality, bug free Software Applications. Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs. Support development of tools using C++/Python/TCL. Work cross functionally with DFT Methodology, Implementation, and design teams with important DFT and power tools support. What we need to see: Smart, diligent and motivated to work as Software QA Lead Engineer. A BS or MS in Electrical Engineering, Computer Science, or Computer Engineering (or equivalent experience) with at least 4+ years of substantial work experience. Work Experience as a Software QA engineer is a must. Knowledge of different software testing techniques, code reviews, code coverage, unit and flow testing, use case testing, random, white and black box testing. Knowledge or experience with DFT, DFP is a plus. Familiar with Verilog and ASIC design principles, including knowledge of logic cells. Software engineering: software design, algorithms, and QA. Strong C++ programming experience. Strong programming and scripting skills in Python or Tcl desired. Having strong interpersonal skills will serve you well in this role. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is $128,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
via Workday
posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team. In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. What you will be doing: Engage directly with experts in their field to understand and address the... problems they are solving. Guide key application developers,
NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team. In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. What you will be doing: Engage directly with experts in their field to understand and address the... problems they are solving. Guide key application developers, contribute directly to the applications and benchmarks, and develop reference codes and libraries. Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform. Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of CPUs (Arm and x86 architectures), NVIDIA GPUs and DPUs, and/or network architectures. Occasional travel from time to time for conferences and on-site visits with developers. What we need to see: A Bachelors, Masters or PhD (or equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods. 6+ years of relevant software development experience Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms. A passion for performance optimization. Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Strong mathematical fundamentals, including linear algebra and numerical methods. Experience working within the Federal Government and the ability to hold a US security clearance is also beneficial. This position requires US Citizenship With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you. The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
via Workday
posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission. As an Applied Deep Learning Scientist, Cheminformatics & Virtual Screening, you will join a research and development team focused on infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement,
NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission. As an Applied Deep Learning Scientist, Cheminformatics & Virtual Screening, you will join a research and development team focused on infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement, productize, and deliver deep learning algorithms for applications to life sciences and drug discovery. The team engages in applied research and then helps productize this work. What you will be doing: Prototype and build deep learning algorithms for small molecule data and AI-assisted virtual screening workflows Design metrics for and assist with the evaluation of model predictions and results Know the latest research and identify ways to capitalize on new advancements, either as applied research projects or by directly integrating... into product development Collaborate with multiple AI infrastructure and research teams Find opportunities to incorporate advances in the field and other NVIDIA products into our infrastructure What we need to see: 5+ years of relevant experience Completed a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field), or equivalent experience Expertise in deep learning and machine learning Expertise in cheminformatics, virtual screening, and processing of biochemical data Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow) Experience with cheminformatics and related tools, such as RDKit, KNIME, AutoDock Vina, and Maestro Recognition for technical leadership contributions, capable of self-direction, and willingness to learn from and teach others You should display strong communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate) Ways to stand out from the crowd: Experience with open source development Background with C/C++, CUDA, docker Experience with diffusion models and/or transformer-based NLP models Relevant publication history and/or conference attendance The base salary range is $156,000 - $287,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
via Workday
posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA's Quantum Computing team is searching for outstanding compiler and DevOps engineers to build the toolchain of the future. We are looking for a meticulous and dedicated engineer with expertise in MLIR/LLVM, who knows system programming fundamentals, and has the capacity to turn ideas into a well designed, robust software framework. You will be working closely with hardware, software and research teams across NVIDIA to create, optimize and distribute
NVIDIA's Quantum Computing team is searching for outstanding compiler and DevOps engineers to build the toolchain of the future. We are looking for a meticulous and dedicated engineer with expertise in MLIR/LLVM, who knows system programming fundamentals, and has the capacity to turn ideas into a well designed, robust software framework. You will be working closely with hardware, software and research teams across NVIDIA to create, optimize and distribute core components of our platform for programming ground breaking hybrid quantum-classical multi-processor systems. If you love the craft of software engineering and are an innovator who relishes the chance to impact the future of the industry, this role may be perfect for you. What You'll Be Doing: Solving difficult problems at the intersection of compilers, programming models, HPC and quantum computing Contributing to the development of the QODA platform and its novel programming paradigms for hybrid quantum-classical computing... Discussing and refining software designs and implementation strategies with peers Improving processes and infrastructure to accelerate our development Partnering with architects, product managers, and application teams to enable leading quantum computing science and technology What We Need To See: Bachelors Degree in Computer Science, Physics or related engineering field or equivalent experience (Ph.D. or Masters preferred) 6+ years experience working on large-scale software projects, and a proven track record of building performant and robust production software Solid understanding of open-source ecosystems, compiler toolchains and programming fundamentals Demonstrated ability to quickly develop expertise in new domains and products, and eagerness to master new challenges Strong communication and collaboration skills Ways To Stand Out From The Crowd: Expertise in parallel computer architectures and distributed systems Experience building compilers for GPUs and/or FPGAs Extensive knowledge about CI, testing and deployment infrastructures, and a passion for improving sophisticated engineering systems A background in quantum computing or quantum physics Deep understanding of programming languages and knowledge about formal verification methods The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
via LinkedIn
posted_at: 4 days agoschedule_type: Full-time
Description
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment
Description
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.
If this sounds like the kind of environment where you can thrive, keep reading!
Leidos is looking to fill a Linux Server/NVidia GPU Engineer position within the Analysis Solutions Division (ASD) to support the National Media Exploitation Center (NMEC). This role requires an individual that has technical experience with administering Nvidia DGX1 and A100 servers within a within a physical and virtual environment. This individual should be detail oriented in order to capture customer inquiries appropriately. This role is responsible for interacting with administrators to handle service inquiries and problems. Duties include examining customer problems and implementing appropriate corrective action to initiate a repair or return to service. This role analyzes recurring problems and initiates solutions for preventing reoccurrence and analyzes existing infrastructure for tuning/performance enhancements. The individual will provide systems and software operations and maintenance support in a large, multi-enclave enterprise environment. This individual will work in a team environment to ensure mission needs are met and ensure functionality of capabilities of customers. Individuals in this role may be required to perform technical software configuration, rebooting, and other remedial actions on customer servers. The Customer utilizes an Agile Framework to plan and successfully complete all initiatives.
The work location is in Bethesda at the Intelligence Community Campus.
Primary Responsibilities
• Review C&A documentation providing feedback on completeness and compliance of its content
• Perform system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of operational IA and CND systems
• Operates with appreciable latitude in developing engineering methodology and presenting solutions to problems.
• Contributes to deliverables and performance metrics where applicable.
• Responsible for implementing, operating, and maintaining physical and virtual server hardware and systems software.
• Monitor resource management system (SLURM) to keep resource allocation efficient and aligned with organizational priorities
• Automate configuration management, software updates, and maintenance of system availability using modern DevOps tools (Ansible, Salt, Gitlab, etc.)
• Plan and maintain new systems that support the NVIDIA Software stack
• Work directly with developers and hardware architects to debug issues, identify new requirements, and improve workflows
• Actively communicate with users and management regarding resource planning and allocation
• Provide technical support, monitoring, and engineering of Linux systems, Nvidia DGX1 and A100 servers within a physical and virtual environment.
• Provide support for the implementation, troubleshooting and maintenance of IT systems. Rapidly distinguish isolated user problems from enterprise-wide application/system problems.
• Maintain scripts, security updates, patches, and configurations for the proper functioning of servers.
• Coordinate with customers and stakeholders to collect data, conduct analysis, develop, and implement solutions associated with incident tickets and requirements.
• Seek opportunities for continuous improvement to support effective and efficient operations
• Develop solutions to complex technical issues.
• Provide documentation and follow-up reports (technical findings, feedback, resolution steps taken) for Root Cause analysis, engineering technical assessment and process improvement initiatives.
• Support customer requirements in a 24/7/365 environment and be able to provide on-call support during outages occurring after hours; may involve shift work.
• Update operations and monitoring documentation for 24/7/365 Operations Watch personnel.
Basic Qualifications
• Requires a bachelor’s degree in computer science or engineering field. Additional years of experience may be considered in lieu of a degree
• 10+ years of relevant systems engineering experience
• Experience supervising and/or mentoring junior staff
• 2 years of Unix experience, including Red Hat/CentOS (or derivative) and Ubuntu
• System security engineering expertise in one or more of the following: system security design process; engineering life cycle; information domain; cross domain solutions; commercial off-the-shelf and government off-the-shelf cryptography; identification; authentication; and authorization; system integration; risk management; intrusion detection; contingency planning; incident handling; configuration control; change management; auditing; certification and accreditation process; principles of IA (confidentiality, integrity, non-repudiation, availability, and access control); and security testing
• Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature requiring originality and innovation in determining how to accomplish tasks.
• Hands on experience identifying server hardware failures, including hard drives and memory
• Experience with cluster configuration management tools such as Ansible, Salt
• Strong knowledge of DNS, NFS, LDAP, and DHCP services
• Experience with shell scripting and/or Python to automate repetitive administration tasks
• Background in Linux server setup, deployment and maintenance
• Experience with hardening Linux environments
• Experience with system administration and engineering of server operating systems such as Linux (CentOS, RHEL, or Ubuntu)
• Experience troubleshooting issues in a growing environment
• Experience with log reviews, incident analysis, and identification of issue trends
• Experience with server patch management methodologies
• Time management skills with the ability to work within an IT Service Management/ticketing system independently
• Ability to triage and properly classify incidents and prioritize work efforts accordingly
• Strong oral and written communications skills
• Experience establishing goals and plans that meet project objectives
• Track record of working effectively within a team, and support to peers toward improved processes and results
• Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP along with an appropriate computing environment (CE) certification)
Clearance
• TS/SCI clearance with Polygraph required
• US Citizenship is required due to the nature of the government contracts we support.
Preferred Qualifications
• Experience with container technologies (Docker, Kubernetes)
• Experience with Prometheus/Grafana for monitoring
• Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.]
• Familiarity with CUDA and managing GPU-accelerated computing systems
• Basic knowledge of deep learning frameworks and algorithms
#NMECDTP
Pay Range
Pay Range $118,300.00 - $182,000.00 - $245,700.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law Show more details...
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.
If this sounds like the kind of environment where you can thrive, keep reading!
Leidos is looking to fill a Linux Server/NVidia GPU Engineer position within the Analysis Solutions Division (ASD) to support the National Media Exploitation Center (NMEC). This role requires an individual that has technical experience with administering Nvidia DGX1 and A100 servers within a within a physical and virtual environment. This individual should be detail oriented in order to capture customer inquiries appropriately. This role is responsible for interacting with administrators to handle service inquiries and problems. Duties include examining customer problems and implementing appropriate corrective action to initiate a repair or return to service. This role analyzes recurring problems and initiates solutions for preventing reoccurrence and analyzes existing infrastructure for tuning/performance enhancements. The individual will provide systems and software operations and maintenance support in a large, multi-enclave enterprise environment. This individual will work in a team environment to ensure mission needs are met and ensure functionality of capabilities of customers. Individuals in this role may be required to perform technical software configuration, rebooting, and other remedial actions on customer servers. The Customer utilizes an Agile Framework to plan and successfully complete all initiatives.
The work location is in Bethesda at the Intelligence Community Campus.
Primary Responsibilities
• Review C&A documentation providing feedback on completeness and compliance of its content
• Perform system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of operational IA and CND systems
• Operates with appreciable latitude in developing engineering methodology and presenting solutions to problems.
• Contributes to deliverables and performance metrics where applicable.
• Responsible for implementing, operating, and maintaining physical and virtual server hardware and systems software.
• Monitor resource management system (SLURM) to keep resource allocation efficient and aligned with organizational priorities
• Automate configuration management, software updates, and maintenance of system availability using modern DevOps tools (Ansible, Salt, Gitlab, etc.)
• Plan and maintain new systems that support the NVIDIA Software stack
• Work directly with developers and hardware architects to debug issues, identify new requirements, and improve workflows
• Actively communicate with users and management regarding resource planning and allocation
• Provide technical support, monitoring, and engineering of Linux systems, Nvidia DGX1 and A100 servers within a physical and virtual environment.
• Provide support for the implementation, troubleshooting and maintenance of IT systems. Rapidly distinguish isolated user problems from enterprise-wide application/system problems.
• Maintain scripts, security updates, patches, and configurations for the proper functioning of servers.
• Coordinate with customers and stakeholders to collect data, conduct analysis, develop, and implement solutions associated with incident tickets and requirements.
• Seek opportunities for continuous improvement to support effective and efficient operations
• Develop solutions to complex technical issues.
• Provide documentation and follow-up reports (technical findings, feedback, resolution steps taken) for Root Cause analysis, engineering technical assessment and process improvement initiatives.
• Support customer requirements in a 24/7/365 environment and be able to provide on-call support during outages occurring after hours; may involve shift work.
• Update operations and monitoring documentation for 24/7/365 Operations Watch personnel.
Basic Qualifications
• Requires a bachelor’s degree in computer science or engineering field. Additional years of experience may be considered in lieu of a degree
• 10+ years of relevant systems engineering experience
• Experience supervising and/or mentoring junior staff
• 2 years of Unix experience, including Red Hat/CentOS (or derivative) and Ubuntu
• System security engineering expertise in one or more of the following: system security design process; engineering life cycle; information domain; cross domain solutions; commercial off-the-shelf and government off-the-shelf cryptography; identification; authentication; and authorization; system integration; risk management; intrusion detection; contingency planning; incident handling; configuration control; change management; auditing; certification and accreditation process; principles of IA (confidentiality, integrity, non-repudiation, availability, and access control); and security testing
• Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature requiring originality and innovation in determining how to accomplish tasks.
• Hands on experience identifying server hardware failures, including hard drives and memory
• Experience with cluster configuration management tools such as Ansible, Salt
• Strong knowledge of DNS, NFS, LDAP, and DHCP services
• Experience with shell scripting and/or Python to automate repetitive administration tasks
• Background in Linux server setup, deployment and maintenance
• Experience with hardening Linux environments
• Experience with system administration and engineering of server operating systems such as Linux (CentOS, RHEL, or Ubuntu)
• Experience troubleshooting issues in a growing environment
• Experience with log reviews, incident analysis, and identification of issue trends
• Experience with server patch management methodologies
• Time management skills with the ability to work within an IT Service Management/ticketing system independently
• Ability to triage and properly classify incidents and prioritize work efforts accordingly
• Strong oral and written communications skills
• Experience establishing goals and plans that meet project objectives
• Track record of working effectively within a team, and support to peers toward improved processes and results
• Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP along with an appropriate computing environment (CE) certification)
Clearance
• TS/SCI clearance with Polygraph required
• US Citizenship is required due to the nature of the government contracts we support.
Preferred Qualifications
• Experience with container technologies (Docker, Kubernetes)
• Experience with Prometheus/Grafana for monitoring
• Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.]
• Familiarity with CUDA and managing GPU-accelerated computing systems
• Basic knowledge of deep learning frameworks and algorithms
#NMECDTP
Pay Range
Pay Range $118,300.00 - $182,000.00 - $245,700.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law Show more details...
via WJHL Jobs
posted_at: 3 hours agoschedule_type: Full-time
Description
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment
Description
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.
If this sounds like the kind of environment where you can thrive, keep reading!
Leidos is looking to fill a Linux Server/NVidia GPU Engineer position within the Analysis Solutions Division (ASD) to support the National Media Exploitation Center (NMEC). This role requires an individual that has technical experience with administering Nvidia DGX1 and A100 servers within a within a physical and virtual environment. This individual should be detail oriented in order to capture customer inquiries appropriately. This role is responsible for interacting with administrators to handle service inquiries and problems. Duties include examining customer problems and implementing appropriate corrective action to initiate a repair or return to service. This role analyzes recurring problems and initiates solutions for preventing reoccurrence and analyzes existing infrastructure for tuning/performance enhancements. The individual will provide systems and software operations and maintenance support in a large, multi-enclave enterprise environment. This individual will work in a team environment to ensure mission needs are met and ensure functionality of capabilities of customers. Individuals in this role may be required to perform technical software configuration, rebooting, and other remedial actions on customer servers. The Customer utilizes an Agile Framework to plan and successfully complete all initiatives.
The work location is in Bethesda at the Intelligence Community Campus.
Primary Responsibilities
• Review C&A documentation providing feedback on completeness and compliance of its content
• Perform system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of operational IA and CND systems
• Operates with appreciable latitude in developing engineering methodology and presenting solutions to problems.
• Contributes to deliverables and performance metrics where applicable.
• Responsible for implementing, operating, and maintaining physical and virtual server hardware and systems software.
• Monitor resource management system (SLURM) to keep resource allocation efficient and aligned with organizational priorities
• Automate configuration management, software updates, and maintenance of system availability using modern DevOps tools (Ansible, Salt, Gitlab, etc.)
• Plan and maintain new systems that support the NVIDIA Software stack
• Work directly with developers and hardware architects to debug issues, identify new requirements, and improve workflows
• Actively communicate with users and management regarding resource planning and allocation
• Provide technical support, monitoring, and engineering of Linux systems, Nvidia DGX1 and A100 servers within a physical and virtual environment.
• Provide support for the implementation, troubleshooting and maintenance of IT systems. Rapidly distinguish isolated user problems from enterprise-wide application/system problems.
• Maintain scripts, security updates, patches, and configurations for the proper functioning of servers.
• Coordinate with customers and stakeholders to collect data, conduct analysis, develop, and implement solutions associated with incident tickets and requirements.
• Seek opportunities for continuous improvement to support effective and efficient operations
• Develop solutions to complex technical issues.
• Provide documentation and follow-up reports (technical findings, feedback, resolution steps taken) for Root Cause analysis, engineering technical assessment and process improvement initiatives.
• Support customer requirements in a 24/7/365 environment and be able to provide on-call support during outages occurring after hours; may involve shift work.
• Update operations and monitoring documentation for 24/7/365 Operations Watch personnel.
Basic Qualifications
• Requires a bachelor's degree in computer science or engineering field. Additional years of experience may be considered in lieu of a degree
• 10+ years of relevant systems engineering experience
• Experience supervising and/or mentoring junior staff
• 2 years of Unix experience, including Red Hat/CentOS (or derivative) and Ubuntu
• System security engineering expertise in one or more of the following: system security design process; engineering life cycle; information domain; cross domain solutions; commercial off-the-shelf and government off-the-shelf cryptography; identification; authentication; and authorization; system integration; risk management; intrusion detection; contingency planning; incident handling; configuration control; change management; auditing; certification and accreditation process; principles of IA (confidentiality, integrity, non-repudiation, availability, and access control); and security testing
• Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature requiring originality and innovation in determining how to accomplish tasks.
• Hands on experience identifying server hardware failures, including hard drives and memory
• Experience with cluster configuration management tools such as Ansible, Salt
• Strong knowledge of DNS, NFS, LDAP, and DHCP services
• Experience with shell scripting and/or Python to automate repetitive administration tasks
• Background in Linux server setup, deployment and maintenance
• Experience with hardening Linux environments
• Experience with system administration and engineering of server operating systems such as Linux (CentOS, RHEL, or Ubuntu)
• Experience troubleshooting issues in a growing environment
• Experience with log reviews, incident analysis, and identification of issue trends
• Experience with server patch management methodologies
• Time management skills with the ability to work within an IT Service Management/ticketing system independently
• Ability to triage and properly classify incidents and prioritize work efforts accordingly
• Strong oral and written communications skills
• Experience establishing goals and plans that meet project objectives
• Track record of working effectively within a team, and support to peers toward improved processes and results
• Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP along with an appropriate computing environment (CE) certification)
Clearance
• TS/SCI clearance with Polygraph required
• US Citizenship is required due to the nature of the government contracts we support.
Preferred Qualifications
• Experience with container technologies (Docker, Kubernetes)
• Experience with Prometheus/Grafana for monitoring
• Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.]
• Familiarity with CUDA and managing GPU-accelerated computing systems
• Basic knowledge of deep learning frameworks and algorithms
#NMECDTP
Pay Range:
Pay Range $118,300.00 - $182,000.00 - $245,700.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law Show more details...
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the... way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.
If this sounds like the kind of environment where you can thrive, keep reading!
Leidos is looking to fill a Linux Server/NVidia GPU Engineer position within the Analysis Solutions Division (ASD) to support the National Media Exploitation Center (NMEC). This role requires an individual that has technical experience with administering Nvidia DGX1 and A100 servers within a within a physical and virtual environment. This individual should be detail oriented in order to capture customer inquiries appropriately. This role is responsible for interacting with administrators to handle service inquiries and problems. Duties include examining customer problems and implementing appropriate corrective action to initiate a repair or return to service. This role analyzes recurring problems and initiates solutions for preventing reoccurrence and analyzes existing infrastructure for tuning/performance enhancements. The individual will provide systems and software operations and maintenance support in a large, multi-enclave enterprise environment. This individual will work in a team environment to ensure mission needs are met and ensure functionality of capabilities of customers. Individuals in this role may be required to perform technical software configuration, rebooting, and other remedial actions on customer servers. The Customer utilizes an Agile Framework to plan and successfully complete all initiatives.
The work location is in Bethesda at the Intelligence Community Campus.
Primary Responsibilities
• Review C&A documentation providing feedback on completeness and compliance of its content
• Perform system installation, configuration maintenance, account maintenance, signature maintenance, patch management, and troubleshooting of operational IA and CND systems
• Operates with appreciable latitude in developing engineering methodology and presenting solutions to problems.
• Contributes to deliverables and performance metrics where applicable.
• Responsible for implementing, operating, and maintaining physical and virtual server hardware and systems software.
• Monitor resource management system (SLURM) to keep resource allocation efficient and aligned with organizational priorities
• Automate configuration management, software updates, and maintenance of system availability using modern DevOps tools (Ansible, Salt, Gitlab, etc.)
• Plan and maintain new systems that support the NVIDIA Software stack
• Work directly with developers and hardware architects to debug issues, identify new requirements, and improve workflows
• Actively communicate with users and management regarding resource planning and allocation
• Provide technical support, monitoring, and engineering of Linux systems, Nvidia DGX1 and A100 servers within a physical and virtual environment.
• Provide support for the implementation, troubleshooting and maintenance of IT systems. Rapidly distinguish isolated user problems from enterprise-wide application/system problems.
• Maintain scripts, security updates, patches, and configurations for the proper functioning of servers.
• Coordinate with customers and stakeholders to collect data, conduct analysis, develop, and implement solutions associated with incident tickets and requirements.
• Seek opportunities for continuous improvement to support effective and efficient operations
• Develop solutions to complex technical issues.
• Provide documentation and follow-up reports (technical findings, feedback, resolution steps taken) for Root Cause analysis, engineering technical assessment and process improvement initiatives.
• Support customer requirements in a 24/7/365 environment and be able to provide on-call support during outages occurring after hours; may involve shift work.
• Update operations and monitoring documentation for 24/7/365 Operations Watch personnel.
Basic Qualifications
• Requires a bachelor's degree in computer science or engineering field. Additional years of experience may be considered in lieu of a degree
• 10+ years of relevant systems engineering experience
• Experience supervising and/or mentoring junior staff
• 2 years of Unix experience, including Red Hat/CentOS (or derivative) and Ubuntu
• System security engineering expertise in one or more of the following: system security design process; engineering life cycle; information domain; cross domain solutions; commercial off-the-shelf and government off-the-shelf cryptography; identification; authentication; and authorization; system integration; risk management; intrusion detection; contingency planning; incident handling; configuration control; change management; auditing; certification and accreditation process; principles of IA (confidentiality, integrity, non-repudiation, availability, and access control); and security testing
• Possesses and applies expertise on multiple complex work assignments. Assignments may be broad in nature requiring originality and innovation in determining how to accomplish tasks.
• Hands on experience identifying server hardware failures, including hard drives and memory
• Experience with cluster configuration management tools such as Ansible, Salt
• Strong knowledge of DNS, NFS, LDAP, and DHCP services
• Experience with shell scripting and/or Python to automate repetitive administration tasks
• Background in Linux server setup, deployment and maintenance
• Experience with hardening Linux environments
• Experience with system administration and engineering of server operating systems such as Linux (CentOS, RHEL, or Ubuntu)
• Experience troubleshooting issues in a growing environment
• Experience with log reviews, incident analysis, and identification of issue trends
• Experience with server patch management methodologies
• Time management skills with the ability to work within an IT Service Management/ticketing system independently
• Ability to triage and properly classify incidents and prioritize work efforts accordingly
• Strong oral and written communications skills
• Experience establishing goals and plans that meet project objectives
• Track record of working effectively within a team, and support to peers toward improved processes and results
• Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP along with an appropriate computing environment (CE) certification)
Clearance
• TS/SCI clearance with Polygraph required
• US Citizenship is required due to the nature of the government contracts we support.
Preferred Qualifications
• Experience with container technologies (Docker, Kubernetes)
• Experience with Prometheus/Grafana for monitoring
• Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.]
• Familiarity with CUDA and managing GPU-accelerated computing systems
• Basic knowledge of deep learning frameworks and algorithms
#NMECDTP
Pay Range:
Pay Range $118,300.00 - $182,000.00 - $245,700.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law Show more details...
via ZipRecruiter
posted_at: 4 days agoschedule_type: Full-timesalary: 144,000–270,250 a year
We are now looking for a Senior Memory System Architect!
NVIDIA is seeking enthusiastic candidates for our growing Memory System Architecture Team! This team drives memory system architecture in products tailored to NVIDIA's world changing SOCs for deep learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming...
What You Will Be Doing:
• Driving development of architecture and micro-architecture to improve the state-of-the-art
We are now looking for a Senior Memory System Architect!
NVIDIA is seeking enthusiastic candidates for our growing Memory System Architecture Team! This team drives memory system architecture in products tailored to NVIDIA's world changing SOCs for deep learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming...
What You Will Be Doing:
• Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Performance modeling and simulation of features to improve memory system performance and efficiency.
• Implementing and maintaining high-level functional and performance models.
• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
• Location: Durham NC, Santa Clara CA, or Austin TX
What we need to see:
• M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience.
• 2+ years experience in SoC or memory system architecture or performance
• Deep understanding of memory subsystems - caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation
• Strong communication and interpersonal skills along with the ability to work in a dynamic, product oriented, distributed team.
• Exposure/coursework related to Digital systems and VLSI design, Computer Architecture, C/C++ programming languages.
• Software development experience with C++, python and/or perl. Verilog or SV/UVM are a plus.
Ways To Stand Out from a Crowd:
• Significant experience with performance modeling or performance verification.
• Experience debugging and solving complex performance issues.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer? If so, we want to hear from you!
The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law Show more details...
NVIDIA is seeking enthusiastic candidates for our growing Memory System Architecture Team! This team drives memory system architecture in products tailored to NVIDIA's world changing SOCs for deep learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming...
What You Will Be Doing:
• Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Performance modeling and simulation of features to improve memory system performance and efficiency.
• Implementing and maintaining high-level functional and performance models.
• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.
• Location: Durham NC, Santa Clara CA, or Austin TX
What we need to see:
• M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience.
• 2+ years experience in SoC or memory system architecture or performance
• Deep understanding of memory subsystems - caches and coherence protocols, DDR and memory controller architecture, on-chip interconnects, address translation
• Strong communication and interpersonal skills along with the ability to work in a dynamic, product oriented, distributed team.
• Exposure/coursework related to Digital systems and VLSI design, Computer Architecture, C/C++ programming languages.
• Software development experience with C++, python and/or perl. Verilog or SV/UVM are a plus.
Ways To Stand Out from a Crowd:
• Significant experience with performance modeling or performance verification.
• Experience debugging and solving complex performance issues.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer? If so, we want to hear from you!
The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law Show more details...
via LinkedIn
posted_at: 3 days agoschedule_type: Full-time
NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team.In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem.
What You Will Be Doing...
• Engage directly with experts in their field to understand and address the problems they are solving.
• Guide key application
NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team.In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem.
What You Will Be Doing...
• Engage directly with experts in their field to understand and address the problems they are solving.
• Guide key application developers, contribute directly to the applications and benchmarks, and develop reference codes and libraries.
• Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
• Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of CPUs (Arm and x86 architectures), NVIDIA GPUs and DPUs, and/or network architectures.
• Occasional travel from time to time for conferences and on-site visits with developers.
What We Need To See
• A Bachelors, Masters or PhD (or equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods.
• 6+ years of relevant software development experience
• Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms.
• A passion for performance optimization.
• Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Experience working within the Federal Government and the ability to hold a US security clearance is also beneficial.
• This position requires US Citizenship
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits .
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law Show more details...
What You Will Be Doing...
• Engage directly with experts in their field to understand and address the problems they are solving.
• Guide key application developers, contribute directly to the applications and benchmarks, and develop reference codes and libraries.
• Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform.
• Perform in-depth analysis and optimization to ensure the best possible performance on the current and next generation of CPUs (Arm and x86 architectures), NVIDIA GPUs and DPUs, and/or network architectures.
• Occasional travel from time to time for conferences and on-site visits with developers.
What We Need To See
• A Bachelors, Masters or PhD (or equivalent experience) in Computer Engineering, Computer Science, or a domain science with a strong focus on the related computational methods.
• 6+ years of relevant software development experience
• Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms.
• A passion for performance optimization.
• Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Experience working within the Federal Government and the ability to hold a US security clearance is also beneficial.
• This position requires US Citizenship
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
The base salary range is $176,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits .
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law Show more details...
via Workday
posted_at: 5 days agoschedule_type: Full-timework_from_home: 1
We are part of the global circuits team at NVIDIA that design the state-of-the-art GPUs for all applications such as supercomputers, gaming consoles and self driving cars. Come join us in our mission to Engineer the next generation of best-in-class products. Our teams focus is on architecture and design of CMOS and Silicon-Photonics high-speed chip interfaces (NVLink, IEEE, PCIE, USB, OIF) and... other complex photonic functions. Strong hands-on experience
We are part of the global circuits team at NVIDIA that design the state-of-the-art GPUs for all applications such as supercomputers, gaming consoles and self driving cars. Come join us in our mission to Engineer the next generation of best-in-class products. Our teams focus is on architecture and design of CMOS and Silicon-Photonics high-speed chip interfaces (NVLink, IEEE, PCIE, USB, OIF) and... other complex photonic functions. Strong hands-on experience in the lab with silicon evaluation, debugging, characterization, and bring up. What You'll Be Doing: Work on the development of novel integrated photonic devices for high-speed optical interconnect and sensing applications. Conduct chip layout circuit design, circuit checking, and device evaluation and characterization. Perform prototype construction and checkout. Develop measurement methodology and apparatus to test and characterize the fabricated devices and perform experiments to demonstrate their ability in various potential applications. Respond to customer/client requests or events as they occur. If you have a strong ability to learn and explore new technologies and able to demonstrate good analysis and analytical skills, this is the ideal position for you. What We Need To See: MSEE (or equivalent experience)/PhD preferred 2+ years of experience in silicon based opto-electronics technologies including Silicon photonics device design, fabrication, and characterization. High-speed optical modulators, lasers and detectors Electrical and optical testing and statistical data analysis. Guided wave and free space optics including optical alignment and fiber-to-waveguide coupling. Lab experience with high-speed test equipment, such as AWG, DCA, VNA, BERT. The candidate must be highly experienced with simulation tools such as Ansys Lumerical, ZeMax, proficient in CAD tools such as Cadence, MATLAB, Python and Verilog-A scripting. Familiarity with modern CMOS fabrication processes and concept is strongly preferred. We have some of the most forward-thinking and hardworking people in the world working on our team. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power efficient chips in their class? If so, we want to hear from you. The base salary range is $124,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA
Show more details...
Norton safe Web