Build deep partnerships with key open-source projects, especially Google's JAX team — supporting our partners while representing NVIDIA's interests in shaping the project's direction
Design processes and define clear success criteria to keep teams aligned to outcomes
Build staffing plans, review team capacity, and make strategic hiring decisions to stay ahead of current and future needs
Lead, grow, and mentor a high-performing engineering organization — developing technical leaders and creating space for your team to experiment, prototype, and build innovative systems that improve products and processes
What we need to see
MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
10+ overall years of software engineering experience, with 4+ years in engineering management or technical leadership
Strong technical background in system software, compilers, high-performance computing, or AI frameworks
Proven experience leading domain-level strategy and projects that span organizational boundaries, building consensus, influencing without direct authority, and tailoring communication to the audience from engineers to executives
Track record of owning outcomes across multiple projects and teams, balancing trade-offs, and driving progress with incomplete information
Experience identifying development cycle gaps and defining workflows across teams and organizations to improve efficiency
Experience leading teams that contribute to large-scale projects with external collaborators
Ways to stand out from the crowd
Hands-on experience with JAX and its systems like XLA, HLO, PJRT, Shardy, or JAX's tracing and transformation system
Experience leading teams working on compiler or runtime infrastructure for deep learning frameworks (JAX, PyTorch, TensorFlow or equivalent)
Familiarity with NVIDIA's AI platform components: GPU programming, CUDA, cuDNN, NCCL, TensorRT, Transformer Engine and heterogeneous compute targets (GPU, CPU, LPU)
Experience driving performance optimization efforts for large-scale distributed AI training, post-training (RLHF, alignment), inference, or robotics workloads (multi-node, multi-GPU)
Experience driving framework or software bring-up on new hardware architectures, coordinating across silicon, driver, compiler, and framework teams
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 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.
