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Most recent job postings at nvidia
via LinkedIn
posted_at: 1 day agoschedule_type: Full-time
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI... computing company”.
We are looking for
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI... computing company”.
We are looking for Reinforcement/ Machine Learning Engineers with significant experience in compiler technology to join our team in Austin, Texas. Your experience over the machine learning landscape should be diverse. Candidates should have a deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and analysis/manipulation of high dimensional data. Candidates should have a good grasp of the design and implementation of compilers and domain specific languages.
What You'll Be Doing
Be part of the compiler applied machine learning and artificial intelligence team developing new and innovative solutions in and around compilers and development tools.
Work with enthusiastic and dedicated people at the forefront of science and technology trends. You will have the opportunity to innovate in areas ranging from machine learning algorithms, system design, processor architecture, and see your work used in products all over the world.
What We Need To See
• BS, MS, PhD or equivalent experience in CS or related field with a focus on machine learning and compilers and development tools.
• 3+ years experience in SW Engineering and machine learning focused on tools development, or equivalent.
• Experience with Lisp / Scheme, Python, Julia, and C / C++.
• Sufficient educational background to understand the science and mathematics involved in the above technologies.
Ways to Stand Out From the Crowd
• 5+ years experience with Lisp / Scheme, Python, Julia, and C / C++.
• Experience with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems
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 brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.#deeplearning Show more details...
We are looking for Reinforcement/ Machine Learning Engineers with significant experience in compiler technology to join our team in Austin, Texas. Your experience over the machine learning landscape should be diverse. Candidates should have a deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and analysis/manipulation of high dimensional data. Candidates should have a good grasp of the design and implementation of compilers and domain specific languages.
What You'll Be Doing
Be part of the compiler applied machine learning and artificial intelligence team developing new and innovative solutions in and around compilers and development tools.
Work with enthusiastic and dedicated people at the forefront of science and technology trends. You will have the opportunity to innovate in areas ranging from machine learning algorithms, system design, processor architecture, and see your work used in products all over the world.
What We Need To See
• BS, MS, PhD or equivalent experience in CS or related field with a focus on machine learning and compilers and development tools.
• 3+ years experience in SW Engineering and machine learning focused on tools development, or equivalent.
• Experience with Lisp / Scheme, Python, Julia, and C / C++.
• Sufficient educational background to understand the science and mathematics involved in the above technologies.
Ways to Stand Out From the Crowd
• 5+ years experience with Lisp / Scheme, Python, Julia, and C / C++.
• Experience with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems
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 brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.#deeplearning Show more details...
via Workday
posted_at: 3 days agoschedule_type: Full-timework_from_home: 1
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to... solve, that only we can tackle, and that matter
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to... solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today! Working the Silicon Solutions Engineering Team at NVIDIA, you will be responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. The qualified candidate should be comfortable in a lab environment and should demonstrate a passion towards creation, execution and improvement of silicon validation plans. What you’ll be doing: Develop and implement methodologies to characterize silicon and validate system features on pre-production silicon. Drive root-causes analysis efforts of hardware failures through lab experimentation and collaboration with other teams within NVIDIA. Find innovative solutions to sophisticated silicon and system level problems to productize silicon and refine future designs to fine-tune architected features post-solicon. Analyze workloads like DL/AI, AAA games, Adobe Suite, and Video Conferencing to understand how we can push market leading energy efficiency. Characterize pre-production silicon fabricated using innovative processes for speed, performance, power, yield, and quality to draw correlation to design. Design or commission tools on evaluation platforms to automate and optimize characterization, data collection, test case execution, and results analysis. Analyze workloads to achieve best-in-class energy efficiency and evaluate the return and investment of new techniques and features, including use case benefit and design-for-productization. What we need to see: Completing a BS or MS degree in EE, CE, Systems Engineering or equivalent experience. Problem solving, debugging, analysis and logical reasoning skills with examples to prove it. Understanding of digital design, circuit analysis, algorithms, computer architecture, BIOS, drivers, and software applications. Strong programming skills in one or more of Python, JavaScript, C/C++ Ways to stand out from the crowd: Familiarity with statistical methods, tools for data analysis, and analyzing large datasets to draw actionable conclusions, possibly applying deep learning techniques. Knowledgeable in signal integrity, timing analysis, fault analysis, sampling, computer architecture, filters. Familiar with lab tools (oscilloscopes and logic analyzers). Experience in Database and Web Development is a plus! With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you. The base salary range is $92,000 - $172,500. 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
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posted_at: 3 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is the industry leader in high performance computing, gaming and AI. Our GPUs and SOCs give outstanding performance and efficiency, revolutionizing myriad fields like cell research, robotics, crypto mining and so many more. We revolutionized the AI world by inventing CUDA. And we are just getting started. Silicon Solutions Group (SSG) is a multifaceted, multi-functional team at NVIDIA. We... sit at the crossroads of design, architecture, marketing
NVIDIA is the industry leader in high performance computing, gaming and AI. Our GPUs and SOCs give outstanding performance and efficiency, revolutionizing myriad fields like cell research, robotics, crypto mining and so many more. We revolutionized the AI world by inventing CUDA. And we are just getting started. Silicon Solutions Group (SSG) is a multifaceted, multi-functional team at NVIDIA. We... sit at the crossroads of design, architecture, marketing and productization. Our involvement begins at the arch stage and extends to defining final products. We architect and deliver innovative solutions for various markets like Gaming, Datacenters, Servers, Automotive and Embedded. We are fast-paced, dynamic, share a sense of humor and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making ground-breaking impacts in the markets we serve. If this sounds like something you want to do, read on. In the role of Speed/Rel ArchDev lead, you will be architecting and crafting new features related to Speed, Timing and Reliability from ground up as you help turbocharge NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. What you will be doing: Creating new features and methodologies for NVIDIA products targeted for data center, consumer and automotive markets spanning broad areas, incl chip HW features as well as system features Create system architecture plans on how the feature fits in the overall landscape, its cross-interaction with other system features, provide benefit trade-offs and drive to POR cross-functionally. Prototype and fine-tune these on pre-production silicon (including test chips) fabricated using innovative processes for speed, performance, power, yield and quality. Provide guidance to silicon facing teams on how to take the feature to productization, including hands-on bringup for feature validation. Collate takeaways from silicon and correlate to design. Provide feedback to improve the feature in future, thus being responsible for the feature roadmap for all NVIDIA products. Collaborating with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, Operations) in a dynamic, creative work environment to bring industry-defining products to market. What we need to see: MS in EE, CE, Systems Engineering or equivalent experience. 3+ years of experience in a related hardware engineering position. Previous engineering xperience in architecting Perf/Power/Speed/Reliability features in CPUs/GPUs/SOCs. Experience spanning from concept all the way to product desirable. Familiarity with STA timing closure, circuit design, noise characterization, product binning methods and/or performance/power optimization techniques. Ways to stand out from the crowd: Background with statistical methods and tools for data analysis. Familiarity with substrate and power supply noise analysis and mitigation. A "go-getter, can get it done" attitude and independent 'out-of-box' thinking. NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you're creative and ambitious, we want to hear from you! The base salary range is $124,000 - $195,500. 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
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posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems! We work on new models for speech recognition, speech synthesis, and natural language processing. Our team... crafted Jasper, QuartzNet, CitriNet and other innovative
NVIDIA's technology is at the heart of AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and voice-powered intelligent assistants! Join a diverse applied research team that is building a next generation of Conversational AI systems! We work on new models for speech recognition, speech synthesis, and natural language processing. Our team... crafted Jasper, QuartzNet, CitriNet and other innovative neural models for ASR and text-to-speech. We also developed algorithms to accelerate training large models on our GPU cloud. We release new models as part of NeMo - open-source toolkit for Conversational AI used by many companies for such applications as customer service, voice assistants, etc. We collaborate with research and product teams, as well as researchers from top academic machine learning labs. What you'll be doing: Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language Design new large scale training algorithm Open-source models using NeMo conversational AI frameworks Mentor interns Publish research papers on top speech and NLP conferences Collaborate with universities and research teams. What we need to see: PhD in Computer Science or Electrical Engineering (or equivalent experience) Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition At least 2 years of research experience in speech recognition or NLP Excellent Python programming skills Experience with PyTorch Strong publications record Ways to stand out from the crowd: Contribution to open-source projects Being reviewers for one of the top speech conferences 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
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posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We are seeking
NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We are seeking a high-energy and experienced customer success operations manager with a validated successful track record of building operational processes, business practices and tool stacks specific to customer success. Are you fanatical about customer success and sales operations? This role might be right for you! What you will be doing: Develop a customer success framework and program for NVIDIA’s partner community. Work with our partner team, certification team and other departments to develop a uniquely NVIDIA program for driving customer success through... our partners Develop tools, resources, training, certification programs to ensure partners are ready to drive the success of our customers Establish best in class templates for customer success conversations and developing recommended workflows that can scale across various partner types Collaborate with colleagues on core customer success management efforts including customer success priorities, strategies, engagement paths, automation streams, health scores and reporting Create and maintain reports and dashboards to support key customer success indicators and customer health metrics Report out on key indicators and metrics pertaining to the health of our customer success initiatives. What we need to see: BA degree or equivalent experience. 10+ years’ experience in customer success operations and sales operations Experience developing customer and/or partner success programs on a global scale Experience implementing customer success tools (Gainsight, Totango) A passion for getting things done in a dynamic sales and technology environment Proven ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally Ways to stand out from the crowd: Understanding of telemetry, sentiment, NPS, CSAT, value metrics for measuring customer success. Proven ability to work cross-functionally in a highly matrixed environment. Strong interpersonal skills and able to prioritize/multi-task easily with limited supervision. 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. If you're creative and autonomous, we want to hear from you! The base salary range is $156,000 - $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
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posted_at: 3 days agoschedule_type: Full-timework_from_home: 1
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we are increasingly known as “the AI computing company” — with the GPU deep learning ignited modern AI, acting as the brain of computers, robots, and self-driving cars etc. We are hiring Sr. Software Engineer who will help build best-in-class simulators for our DGX Server platforms... Simulations play a critical role in building
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we are increasingly known as “the AI computing company” — with the GPU deep learning ignited modern AI, acting as the brain of computers, robots, and self-driving cars etc. We are hiring Sr. Software Engineer who will help build best-in-class simulators for our DGX Server platforms... Simulations play a critical role in building scalable systems at Speed of Light! As an NVIDIAN, get immersed in a diverse environment where everyone is encouraged to do their best work. Join the team and see how you can make a lasting impact on the world! What you’ll be doing: Drive requirements, architecture, and roadmap of NVIDIA DGX Simulation platforms. Build & enhance simulator with new HW features, improve simulation performance, fix bugs across user and kernel stacks & automate system for regressions testing. Bring full SW stack up on DGX Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally. What we need to see: BS degree or higher (Computer science or related) or equivalent experience 3+ years of relevant experience. Proficient in C / C++ programming with strong user & kernel mode debugging skills in multi-threaded environment. Clear understanding of OS fundamentals, computer system architecture and low-level interfaces such as buses, controllers, interrupts etc. Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES etc.) Strong articulation skills for crafting and improving technical documents and to engage globally distributed engineering team. Ways to stand out from the crowd: Experience in virtualization, hypervisors & building HW simulators. Experience in HW & SW stack bringup using Simulators & Emulators etc. Familiarity with hardware interfaces such as PCIe, SPI, I2C etc with Linux Boot solutions on x86 & ARM class platforms. Having written software in GitHub with exposure to opensource development life cycle. 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
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posted_at: 1 day agoschedule_type: Full-timework_from_home: 1
There is a dynamic and rapidly growing community of developers who are inventing the future and building a range of applications and services using the latest accelerated computing technologies and platforms from NVIDIA. We are looking for a technical product marketing manager who is passionate about model optimization and deployment to join NVIDIA’s developer team. Inference is where AI delivers... results, powering innovation across every industry.
There is a dynamic and rapidly growing community of developers who are inventing the future and building a range of applications and services using the latest accelerated computing technologies and platforms from NVIDIA. We are looking for a technical product marketing manager who is passionate about model optimization and deployment to join NVIDIA’s developer team. Inference is where AI delivers... results, powering innovation across every industry. Optimized inference allows for larger models to be used in real-world applications while increasing throughput, lowering cost, and reducing power consumption. We need someone technical to build go-to-market plans and shepherd the creation of supporting marketing materials like sample applications, tutorials, white papers, and deeply technical presentations that convey the value of NVIDIA TensorRT and TensorRT-LLM. Do you have the rare blend of both technical and marketing skills? We need hard-working and creative people who want to work on innovative technology and are passionate about supporting developers. If so, we would love to learn more about you! What you’ll be doing: Positioning products - Work with business leaders across the company on product positioning. You understand developers and you know how to communicate value to them. You understand the strengths and weaknesses of your product relative to alternatives. You will gather evidence and develop our product claims and the positioning points that are compelling to developers. Launching products – You will build the marketing plan, ensuring that positioning and messaging are consistent across assets. Work with an outstanding, cross-functional, team including product management, technical marketing, engineering, campaign managers, and PR to implement the plan. Building awareness - Segment and target audiences, identify asset gaps, and influence or assist technical teams to generate developer-centric marketing content, including deep technical blogs, technical webinars, tutorials, and more to highlight the features and capabilities of TensorRT. This is a public-facing role where you will evangelize and champion the use of software development kits to grow the NVIDIA developer community. Some travel may be required to present at trade shows, conferences, or to customers. What we need to see: Familiarity with popular large language models like Llama2, GPT, BLOOM, and Falcon. Understand the basics of kernel fusion, quantization, memory manipulation, and other model optimization techniques for inference deployment. Knowledge of the inference ecosystem, including compilers like OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, and ONNX. Ability to explain core computer science concepts related to performance such as Amdhal’s law. 10+ years of meaningful work experience in a technical role working with deep learning compilers and 5+ years of experience in a product marketing role promoting technical products. Graduate degree in Computer Science, Computer Engineering, or similar (or equivalent experience). MBA preferred (or equivalent entrepreneurship experience) Prior experience with C++, Python, or other modern programming languages. Excellent written and verbal communication and social skills with a consistent record of articulating a value proposition to technical and non-technical audiences. Proven ability to prioritize projects, contribute to getting things done and work independently. An entrepreneurial mindset with a desire to work on new products and technologies. Please provide writing samples of public-facing technical content. Ways to stand out from the crowd: Product marketing experience at a company building inference optimization products. Familiarity with the NVIDIA GPUs, and the CUDA parallel programming model. Hands-on experience with NVIDIA TensorRT or Faster Transformer. Master's degree from a leading university in software engineering or computer science. 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. If you are creative and autonomous, we want to hear from you! The base salary range is $176,000 - $276,000. 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. #deeplearning 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
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posted_at: 3 days agoschedule_type: Full-timework_from_home: 1
We are now looking for a Principal Compiler Backend SW Engineer. NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly
We are now looking for a Principal Compiler Backend SW Engineer. NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and growing our teams with the smartest people in the world. We are looking for you. What you'll be doing: You will understand, modify, and improve an NVIDIA proprietary parallel compiler written in C++ and a new LLVM-based backend compiler Provide technical leadership to identify and develop significant improvements in the compiler Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages Work... with global compiler, hardware and application teams to oversee improvements and problem resolutions You will apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools What we need to see: Proficient in compiler design and in performance analysis tools. B.S. or higher degree in Computer Science/Engineering or equivalent experience Excellent C and C++ programming skills, with at least 15 years experience in compiler support and development Experience in a shared engineering production environment Good communication and documentation skills and self-motivated Ways to stand out from the crowd: Masters or PhD preferred, with 15+ years of relevant experience Experience in GPU usage With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. The base salary range is $268,000 - $414,000. 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
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posted_at: 4 days agoschedule_type: Full-timework_from_home: 1
NVIDIA is looking for a hardworking systems software engineer to work on open-source Linux containers runtimes and containers orchestrators. Your main focus will be on containerizing HPC apps under Linux, building and debugging C/C++ HPC apps within containers. We believe containers are now a key part of our infrastructure powering HPC and deep learning platforms! What you will be doing: You'll... be part of a diverse team and together we will explore
NVIDIA is looking for a hardworking systems software engineer to work on open-source Linux containers runtimes and containers orchestrators. Your main focus will be on containerizing HPC apps under Linux, building and debugging C/C++ HPC apps within containers. We believe containers are now a key part of our infrastructure powering HPC and deep learning platforms! What you will be doing: You'll... be part of a diverse team and together we will explore innovative ways to make GPU-accelerated HPC applications easier to develop, deploy and monitor! We will advance the state of virtualization for high-performance applications. You will work on enabling GPUs as an outstanding resource in container orchestrators. You'll have the opportunity to research new use cases for GPUs with emerging container technologies. What we need to see: Specialists or Master’s degree in Computer science or other technical field or equivalent experience 3+ years of experience. Python, C/C++, Golang, or Rust experience, with the ability to write scripts and tools to support containerization and deployment processes. Strong understanding of Linux operating systems, shell scripting, and system administration. You have worked with container technologies, such as docker, singularity/apptainer, LXC, and/or CharilieCloud (understanding of the inner workings a plus) Proficient in compiling software from source within a Linux-based environment Proficiency in version control systems, particularly Git, and proven experience with GitLab for code repository management and CI/CD Excellent troubleshooting abilities spanning multiple software (storage systems, kernels and containers). Ways to stand out from the crowd: Building, running, benchmarking and performance tuning HPC applications, including MPI and CUDA Experience with distributed systems, especially containers orchestrators as Kubernetes, Docker Swarm, Mesos or Nomad. Knowledge of GPU programming such as OpenCL or CUDA. We are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you. The base salary range is $116,000 - $224,250. 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
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schedule_type: Full-timework_from_home: 1
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to... solve, that only we can tackle, and that matter
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to... solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice, join our diverse team today. We are now looking for an exceptional networking SW and system architect to join the architecture group. You will be part of a team that shapes the next generation of data center NICs and data processors (DPUs), works closely with hardware architects, SW architects and external customers. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. What you’ll be doing: The position will include defining the next generation NIC, Host and DPU features for next generation data centers. Work closely with customers to understand the needs and problems. End to end design of the SW stack from application level to HW interface. Work closely with HW architect in order to define the HW features and SW-HW interface to fit the solution. Research and simulation before HW available. After HW tape out push features to production at customer's data centers. What we need to see: B.Sc., M.Sc. or Ph.D. in Computer Science or related field (or equivalent experience) Minimum 5 years of experience in software design and development. Knowledge in Linux - drivers and subsystems Background with emulation frameworks - QEMU, KVM, Hyper-V Knowledge in containers and their management layers Ability to quickly adapt to new technology and go deep into new areas. Can work independently. Strong interpersonal skills, Able to work with customers and partners. Able to drive new solutions based on any issues that arise. Experience in cloud security - advantage. With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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
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