NVIDIA
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Senior DGX Cloud Performance Engineer
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NVIDIA 1 week ago Be among the first 25 applicants Join to apply for the
Senior DGX Cloud Performance Engineer
role at
NVIDIA Get AI-powered advice on this job and more exclusive features. NVIDIA DGX Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of NVIDIA's DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the multi-functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop elite AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc).
What You Will Be Doing
Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of meaningful applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by leading changes in the HW or SW (or both). Collaborate with external CSPs during the full life cycle of cluster deployment and workload optimization to understand and drive standard methodologies Collaborate with AI researchers, developers, and application service providers to understand difficulties, requirements, project future needs and share best practices Work with a diverse set of LLM workloads and their application areas such as health care, climate modeling, pharmaceuticals, financial futures, Genomics/Drug discovery, among others. Develop the vital modeling framework and the TCO analysis to enable efficient exploration and sweep of the architecture and design space; Develop the methodology needed to drive the engineering analysis to advise the architecture, design and roadmap of DGX Cloud
What We Need To See
12+ years of proven experience Ability to work with large scale parallel and distributed accelerator-based systems Expertise optimizing performance and AI workloads on large scale systems Experience with performance modeling and benchmarking at scale Strong background in Computer Architecture, Networking, Storage systems, Accelerators Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others Experience with AI/ML models and workloads, in particular LLMs Understanding of DNNs and their use in emerging AI/ML applications and services Bachelors or Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience Proficiency in Python, C/C++ Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …)
Ways To Stand Out From The Crowd
Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly Proficiency in CUDA, XLA Excellent interpersonal skills PhD nice to have
With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), 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 outstanding growth, our best-in-class 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until .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.
JR1998135
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Senior Performance Engineer” roles.
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Senior DGX Cloud Performance Engineer
role at
NVIDIA 1 week ago Be among the first 25 applicants Join to apply for the
Senior DGX Cloud Performance Engineer
role at
NVIDIA Get AI-powered advice on this job and more exclusive features. NVIDIA DGX Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of NVIDIA's DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the multi-functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop elite AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc).
What You Will Be Doing
Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of meaningful applications and services; Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; Develop ideas on how to improve the end to end system performance and usability by leading changes in the HW or SW (or both). Collaborate with external CSPs during the full life cycle of cluster deployment and workload optimization to understand and drive standard methodologies Collaborate with AI researchers, developers, and application service providers to understand difficulties, requirements, project future needs and share best practices Work with a diverse set of LLM workloads and their application areas such as health care, climate modeling, pharmaceuticals, financial futures, Genomics/Drug discovery, among others. Develop the vital modeling framework and the TCO analysis to enable efficient exploration and sweep of the architecture and design space; Develop the methodology needed to drive the engineering analysis to advise the architecture, design and roadmap of DGX Cloud
What We Need To See
12+ years of proven experience Ability to work with large scale parallel and distributed accelerator-based systems Expertise optimizing performance and AI workloads on large scale systems Experience with performance modeling and benchmarking at scale Strong background in Computer Architecture, Networking, Storage systems, Accelerators Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others Experience with AI/ML models and workloads, in particular LLMs Understanding of DNNs and their use in emerging AI/ML applications and services Bachelors or Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience Proficiency in Python, C/C++ Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …)
Ways To Stand Out From The Crowd
Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly Proficiency in CUDA, XLA Excellent interpersonal skills PhD nice to have
With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), 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 outstanding growth, our best-in-class 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until .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.
JR1998135
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Sign in to set job alerts for “Senior Performance Engineer” roles.
Sumner, WA $152,443.00-$177,400.00 1 month ago Senior System Software Engineer - Performance
Washington, United States $148,000.00-$287,500.00 6 days ago Redmond, WA $117,200.00-$250,200.00 1 week ago Senior Software Engineer - Data Processing
Greater Seattle Area $155,000.00-$190,000.00 19 hours ago Sr Software Engineer, Reliability Engineering
Greater Seattle Area $164,000.00-$204,000.00 5 days ago Senior Software Engineer, Data Infrastructure
Seattle, WA $146,880.00-$220,320.00 1 day ago Seattle, WA $140,000.00-$200,000.00 1 week ago Senior Software Engineer, Backend - Fintech
Seattle, WA $150,000.00-$350,000.00 1 week ago Senior Software Engineer, FusionFeed API
Seattle, WA $140,000.00-$190,000.00 1 week ago Bellevue, WA $140,000.00-$185,000.00 1 week ago Senior Software Engineer – IaaS (Platform and Tools - VMs) (REMOTE)
Seattle, WA $105,000.00-$215,000.00 8 hours ago Seattle, WA $170,000.00-$200,000.00 4 months ago Senior Software Engineer: Infrastructure
Seattle, WA $130,000.00-$170,000.00 2 weeks ago Senior Engineer – Full Stack, Strategy Foundation Engineering *Remote*
Seattle, WA $105,000.00-$215,000.00 3 days ago Seattle, WA $170,000.00-$220,000.00 6 months ago Washington, United States $150,000.00-$170,000.00 2 weeks ago Seattle, WA $93,000.00-$185,000.00 1 week ago Seattle, WA $114,200.00-$142,700.00 2 weeks ago Senior Software Engineer, Networking Software
Washington, United States $148,000.00-$287,500.00 15 minutes ago Washington, United States $148,000.00-$287,500.00 1 week ago Seattle, WA $190,000.00-$220,000.00 2 months ago Seattle, WA $190,000.00-$220,000.00 2 months ago Greater Seattle Area $130,000.00-$180,000.00 1 day ago Senior Deep Learning Compiler Engineer - CUDA
Washington, United States $148,000.00-$287,500.00 4 days ago Seattle, WA $140,000.00-$175,000.00 2 weeks ago Senior Deep Learning Compiler Engineer - XLA
Washington, United States $148,000.00-$287,500.00 1 week ago Washington, United States $148,000.00-$287,500.00 1 week ago Seattle, WA $150,000.00-$180,000.00 1 month ago Washington, United States $148,000.00-$287,500.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr