NVIDIA · 9 hours ago
Distinguished Engineer – High Performance AI
NVIDIA is a leader in computer graphics and AI technology, seeking a Distinguished Engineer – High Performance AI to build groundbreaking agentic AI systems for the CUDA ecosystem. The role involves defining technical direction, driving execution across the stack, and collaborating with internal teams to translate advances into production capabilities.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Set strategy and lead execution for agentic AI systems for the CUDA ecosystem, defining roadmaps and measurable success metrics (performance, quality, reliability, developer productivity)
Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available
Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity
Collaborate across the AI stack and help drive architecture and key technical decisions —from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model and research/engineering teams
Scale impact through leadership: mentor and grow senior technical talent
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
17+ years industry and/or academia experience with AI systems development; strong exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks
Strong C/C++ and Python programming skills; solid software engineering fundamentals; ability to set engineering standards and review architecture at scale
Experience with GPU programming and performance optimization (CUDA or equivalent)
Proven track record leading large, cross-team efforts from concept through production, including navigating ambiguity, aligning stakeholders, and delivering measurable outcomes
Preferred
MS or PhD preferred
Track record building/evaluating deep learning models, coding agents and developer tooling, and driving broad adoption across teams or customers
Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms. Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results
Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards
Experience leading projects end-to-end, mentoring small teams; ability to drive concepts to production
Recognized technical leadership (e.g., setting platform direction, creating widely used architectures/APIs, or establishing evaluation/benchmarking standards)
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
2026-01-15
2026-01-14
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