[Remote] Distinguished Engineer – High Performance AI

Note: The job is a remote job and is open to candidates in USA. 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.ResponsibilitiesSet 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 availableDevelop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivityCollaborate 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 teamsScale impact through leadership: mentor and grow senior technical talentSkillsBachelor'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 stacksStrong C/C++ and Python programming skills; solid software engineering fundamentals; ability to set engineering standards and review architecture at scaleExperience 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 outcomesMS or PhD preferredTrack record building/evaluating deep learning models, coding agents and developer tooling, and driving broad adoption across teams or customersDemonstrated 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 resultsPublications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standardsExperience leading projects end-to-end, mentoring small teams; ability to drive concepts to productionRecognized technical leadership (e.g., setting platform direction, creating widely used architectures/APIs, or establishing evaluation/benchmarking standards)BenefitsEquityBenefitsCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.