Senior Manager, Software Engineering - JAX

Senior Engineering Manager – JAX Strategy and Leadership

JAX is the framework of choice for the most ambitious AI research, and the datacenters it runs on are evolving fast. NVIDIA supercomputers are becoming more heterogeneous, combining GPUs, CPUs, and LPUs, and JAX needs to evolve to perform well across all of them. NVIDIA seeks a Senior Engineering Manager to define and drive NVIDIA's JAX strategy, coordinating multiple teams and work streams to ensure JAX delivers peak performance across the platform, from single‑accelerator workloads to hundreds of thousands of devices on the largest supercomputers ever built.

What you will be doing:

• Drive the engineering contribution strategy across the JAX ecosystem stack — including JAX core, XLA, Shardy, MPMD, and application‑level codebases like Max Text — prioritizing where NVIDIA's contributions create maximum impact on performance, adoption, and ecosystem influence.
• Promote teamwork across organizational boundaries to shape NVIDIA's AI platform across compiler (XLA, TileIR, CUDA), runtime, networking, and hardware teams.
• 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, Tensor Flow, 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.