Job description

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 workstreams 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. A critical part of this role is ensuring JAX is ready on next-generation architectures, including Rubin Ultra, LPUs, and the CPUs that drive them, from day one. Doing that well requires keeping up with where AI is heading. This means supporting emerging needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends. Come join us to build the team and technology behind the next AI breakthroughs. 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 MaxText — 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, 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.

Requirements

Must-haves

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
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
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
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
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.

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium