NVIDIA · 1 day ago
Senior Deep Learning Systems Engineer, Datacenters
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is a leading technology company known for its innovative approach in the Datacenter business. The Senior Deep Learning Systems Engineer will analyze performance and power consumption of deep learning applications on datacenter-class hardware and play a key role in optimizing datacenter designs.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Help develop software infrastructure to characterize and analyze a broad range Deep Learning applications
Evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs)
Work with experts to help develop analysis and profiling tools in Python, bash and C++ to measure key performance metrics of DL workloads running on Nvidia systems
Analyze system and software characteristics of DL applications
Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement
Qualification
Required
A Bachelor's degree in Electrical Engineering or Computer Science or equivalent experience (Masters or PhD degree preferred)
8 years or more of relevant experience
Experience in at least one of the following: System Software: Operating Systems (Linux), Compilers, GPU kernels (CUDA), DL Frameworks (PyTorch, TensorFlow)
Experience in Silicon Architecture and Performance Modeling/Analysis: CPU, GPU, Memory or Network Architecture
Experience programming in C/C++ and Python
A deep understanding of computer system architecture and performance analysis is essential for success in this role
Demonstrated ability to work in virtual environments, and a strong drive to own tasks from beginning to end
Preferred
Background with system software, Operating system intrinsics, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow)
Experience with silicon performance monitoring or profiling tools (e.g. perf, gprof, nvidia-smi, dcgm)
In depth performance modeling experience in any one of CPU, GPU, Memory or Network Architecture
Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm)
Prior experience with multi-site teams or multi-functional teams
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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)
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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
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Business Insider
2026-01-09
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2026-01-09
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