NVIDIA · 7 hours ago
Senior Performance Engineer
NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Performance Engineer to enhance performance in large-scale AI systems and datacenter applications. The role involves implementing performance practices, providing insights on system design, and collaborating with various teams to improve workflows and solutions.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Lead all aspects of implementing performance practices in large scale infrastructure, deliver powerful tools, methodologies, and flows to validate and improve several datacenter products in parallel
Specific responsibilities include aligning the next generation AI workloads on top of next generation datacenter designs. This involves early engagement with HW/FW/SW/platform internal and customer teams, and other groups
Deliver engineering solutions to deliver continuous insights into performance of AI workloads over evolving environments, generating quick insights to improvements and regressions over time
Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards final root cause of underlying problems
Participating in engagements with various SW and FW (BMC/SBIOS/OS/drivers etc) teams to develop best-in-class practices and tools, you will be analyzing, debugging and resolving critical firmware and software issues for the best AI workload performance at scale
Qualification
Required
8+ years of experience in using accelerated computing for datacenter container computing solutions
Proven understanding of accelerated computing software stacks and DL Frameworks (CUDA, PyTorch)
Experience using and handling modern Cloud and container-based Enterprise computing architectures
C/C++/Python/Bash programming/scripting experience
Experience with CPU architecture
Experience with container technology and Linux based OSes
Understanding of collective communication and the patterns in AI workloads
Experience working with engineering or academic research community supporting high performance computing or deep learning
Strong verbal and written communication skills as well as strong teamwork and communication skills
Action driven with strong analytical and analytical skills
BS in Engineering, Mathematics, Physics, or Computer Science, MS or PhD desirable (or equivalent experience)
Preferred
At-scale DL training experience
DL and graph compiling programming skills
Exposure to virtualization techniques, cloud platform solutions
Exposure to scheduling and resource management systems
Experience with large scale HPC environments
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
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
Recent News
2026-01-16
2026-01-16
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