NVIDIA · 2 weeks ago
Senior DGX Cloud Performance Engineer
Washington, United States
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $356K/yr
10+ years expNVIDIA is a leading technology company specializing in AI platforms and solutions. They are seeking a Senior DGX Cloud Performance Engineer to drive performance analysis and optimization of their DGX Cloud clusters, collaborating with cross-functional teams to enhance system architecture and usability.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important 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 driving changes in the HW or SW (or both)
Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice
Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space
Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud
Qualification
Required
Expertise in working with large scale parallel and distributed accelerator-based system 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 as well as an understanding of DNNs and their use in emerging AI/ML applications and services
Bachelors/Masters in Engineering or equivalent experience (preferably, Electrical Engineering, Computer Engineering, or Computer Science)
10 years experience in the above areas
Proficiency in Python, C/C++
Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …)
Preferred
PhD in the relevant areas
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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