Principal Product Manager, AI Frameworks

Full time

At NVIDIA, we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust ecosystem of other OSS frameworks. NVIDIA's PyTorch Compilers team builds and upstreams to the stack that sits between PyTorch and NVIDIA hardware - spanning torch.compile, emerging compiler substrates, and the agent-native optimization infrastructure being built for the next era of accelerated computing.

This role will build and direct product strategy across the full arc. It involves shipping the latest hardware features in torch.compile today. It also includes developing the canonical shared representation across NVIDIA's compiler and runtime ecosystem. Additionally, it focuses on crafting how agents will engage in deep learning performance work in the future.

• torch.compile - maintain and evolve NVIDIA's upstream PyTorch path, drive HW support, resolve customer issues across dynamic shapes, kernel performance, and compile overhead
• define the roadmap and go-to-market for NVIDIA's shared representation layer across frameworks, compilers, kernel libraries, and runtimes
• Agent-native compiler workflows - shape the product vision for how agentic systems will participate in optimization tasks
• Inter-kernel optimization features - build product requirements for capabilities like megakernels and ensure they ship with demonstrated real-world value

• Define Now/Next/Later priorities in close partnership with engineering leads
• Translate ecosystem signals (vLLM RFCs, SGLang CUDA Graph patterns, Torch Titan Graph Trainer plans, Meta's upstream priorities) into prioritized product decisions

• Represent NVIDIA at PyTorch contributor and ecosystem forums;

• Establish performance gates and adoption milestones
• Set bar for what "proven" means for new optimizations before committing to roadmap

• 15+ years in technical product management, with 5 years owning a compiler, runtime, or low-level systems product at scale
• BS or MS degree in Computer Science, Electrical Engineering, a related technical field, or equivalent experience.
• Experience with OSS-first products and upstream contribution strategy
• Track record of shipping and driving adoption for developer efficiency and performance oriented infrastructure products
• Understands how inference frameworks use compiler technology - where they adopt torch.compile, where they go around it, and why
• Understands how new hardware features create new compiler requirements
• Can write clear, defensible strategy documents and knows how to scope an early-access release:
• Strong instinct for where to concentrate investment vs. spread it

• Deep understanding of the PyTorch compiler stack and how to influence strategy in this ecosystem
• You've worked on how agents participate in systems-level optimization workflows
• Familiarity with MLIR-based compiler infrastructure and how it maps to NVIDIA hardware primitives
• Can reason about inter-kernel optimization tradeoffs to define the right bar for "proven"
• Comfortable reading kernel performance profiles and debug how torch.compile can help any model

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.