Senior Compiler Engineer - AI

NVIDIA; Redmond; On-site; AUD 264,000 - 413,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a senior engineer to design and optimize compilers and runtimes for large-scale deep learning training on multi-GPU systems. You will collaborate with JAX/XLA teams and contribute to the open-source JaxPP project, helping accelerate next-gen DL software.

The role requires deep expertise in compilers, distributed systems, and DL frameworks, with strong C/C++ and Python skills, and a track record of delivering performance-at-scale across complex workloads.

Qualifications

• Masters or PhD in Computer Science, Computer Engineering, or related field or equivalent experience.

Responsibilities

• Design and implement program transformations on JAX programs (jaxpr) for large-scale training.
• Develop technologies and products involving optimizing compilers and runtime execution frameworks for accelerating deep learning training on large scale distributed systems.
• Work on compiling a graph intermediate representation (IR) to target specific code, and build the distributed runtime that dispatches per-stage programs to many GPUs and moves data between stages through communication libraries such as NCCL.
• Contribute to advancing the state of the art in compiler technology for delivering high performance on large-scale training workloads, including mixture-of-experts models.
• Collaborate with members of the software framework teams (for example JAX and XLA) and the hardware architecture teams to accelerate the next generation of deep learning software, and work on integrating JaxPP into JAX training frameworks, including MaxText.
• Be a core contributor to the open-source JaxPP project: keeping it working with new JAX releases, testing, performance tracking, and working with teams who adopt it for their training runs.

Skills

C/C++ programming

Python programming

Distributed systems

Deep learning training

Communication

Independent work

Education

Master's/PhD in CS/CE or related field

Tools

MPI

NCCL

NVSHMEM

XLA

JAX

PyTorch

CUDA

Job description

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

What You'll Be Doing

• Design and implement program transformations on JAX programs (jaxpr) for large-scale training, on top of unmodified JAX and XLA: pipeline schedules, placement of tasks across stages, sharding (including JAX explicit sharding), and overlap of communication with computation.
• Develop technologies and products involving optimizing compilers and runtime execution frameworks for accelerating deep learning training on large scale distributed systems.
• Work on compiling a graph intermediate representation (IR) to target specific code, and build the distributed runtime that dispatches per-stage programs to many GPUs and moves data between stages through communication libraries such as NCCL.
• Contribute to advancing the state of the art in compiler technology for delivering high performance on large-scale training workloads, including mixture-of-experts models.
• Collaborate with members of the software framework teams (for example JAX and XLA) and the hardware architecture teams to accelerate the next generation of deep learning software, and work on integrating JaxPP into JAX training frameworks, including MaxText.
• Be a core contributor to the open-source JaxPP project: keeping it working with new JAX releases, testing, performance tracking, and working with teams who adopt it for their training runs.

What We Need To See

• Masters or PhD in Computer Science, Computer Engineering, or related field or equivalent experience.
• 6+ years of relevant work or research experience in compilers, distributed systems, or deep learning training.
• Compiler design and implementation.
• Distributed system design, development, and deployment.
• Experience with deep learning frameworks (JAX, PyTorch).
• GPU training and inference of deep learning models.
• C/C++ and Python programming, with excellent software design skills, including debugging, performance analysis, and test design.
• Experience with parallel computing libraries (MPI).
• Be able to work independently, define project goals and scope, and lead your own development efforts.
• Strong communication skills are required, including working directly with engineers at partner companies to debug and tune large training runs, along with the ability to work in a dynamic product-oriented team.

Ways To Stand Out From The Crowd

• Experience with JAX internals (jaxpr, tracing, sharding, shard_map), or with XLA, StableHLO, or MLIR.
• Experience building or tuning large training jobs with pipeline, tensor, expert, and data parallelism, for example in MaxText or Megatron-LM, and debugging their performance on large GPU clusters.
• Knowledge of GPU communication libraries such as NCCL, NVSHMEM, or RDMA, and of CPU and/or GPU architecture. CUDA programming experience is a plus.
• Contributions to open-source compiler or machine learning projects.
• Experience in mentoring early career engineers and interns is a bonus.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 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.

#deeplearning, , JR2029239