NVIDIA · 1 day ago
Senior AI Performance and Efficiency Engineer
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is seeking a Senior AI/ML Performance and Efficiency Engineer to join their AI Efficiency efforts. The role involves enhancing efficiency for researchers by addressing infrastructure and application deficiencies, and collaborating on innovative AI and ML research on GPU Clusters.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more
Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization
Qualification
Required
BS or similar background in Computer Science or related area (or equivalent experience)
Minimum 8+ years of experience designing and operating large scale compute infrastructure
Strong understanding of modern ML techniques and tools
Experience investigating, and resolving, training & inference performance end to end
Debugging and optimization experience with NSight Systems and NSight Compute
Experience with debugging large-scale distributed training using NCCL
Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms
Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector
Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds
Preferred
Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
Experience with Machine Learning and Deep Learning concepts, algorithms and models
Familiarity with InfiniBand with IBOP and RDMA
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
Familiarity with deep learning frameworks like PyTorch and TensorFlow
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)
Distribution of Different Job Fields Receiving Sponsorship
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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
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2026-01-09
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2026-01-09
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