Distinguished Engineer – AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an outstanding Distinguished Engineer – High Performance AI to build groundbreaking agentic AI systems for the CUDA ecosystem. We build full-stack agentic AI platforms—spanning multi-agent runtimes and orchestration, data and evaluation pipelines, training and inference stacks, and GPU-accelerated execution—deeply integrated with NVIDIA’s software and hardware stack to advance accelerated computing end-to-end. As a leader on the team, you will define technical direction and drive execution across the stack, including building advanced multi-agent systems, scalable training (including multi-agent RL) and inference, hardware/software co-design, and production-grade engineering solutions that improve agent planning, reasoning, tool-use, code generation, and end-to-end engineering workflows.

You will collaborate closely with internal NVIDIA software and hardware teams to translate the latest advances into production capabilities and NVIDIA products.

• 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/tool chains, 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.

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
• 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.

• 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).

With competitive salaries and a generous benefits package, we are widely…