Software Engineer, ML Training Performance
Summary
Software engineer on Zoox's ML Platform team optimizing large-scale training of autonomous-driving foundation, VLM, and VLA models — using distributed training, parallelism, mixed precision, custom GPU kernels, and RL performance work to make training faster, cheaper, and more scalable, based in Foster City, CA.
In this role, you will:
-
Design, implement, and operate cutting-edge ML training performance optimization techniques — distributed training (data/tensor/pipeline parallelism), mixed-precision, gradient checkpointing, and GPU kernels — to scale our VLM, VLA, and Foundational models training efficiency.
-
Work on RL framework and RL performance optimization for driving foundation model
-
Profile and debug training throughput bottlenecks across the compute, compiler, framework, and cluster-networking stack.
-
Collaborate closely with ML researchers, data engineers, and hardware engineers to define requirements and align on architectural decisions for large-scale training infrastructure.
-
Implement custom kernels and build benchmarks to track and validate training-performance optimizations across the stack.
Qualifications
Note: You do not have to meet all the requirements below to be considered for this position:
-
4+ years of total experience, including 2+ years working on large-scale model training platforms.
-
Experience with distributed training frameworks (Megatron-LM, TorchTitan), efficiently utilizing GPU/accelerator clusters at scale.
-
Experience with RL framework such as Verl/MILES and RL algorithms(GRPO, PPO)
-
Experience with collective communication libraries (e.g., NCCL) and optimizing communication/compute overlap in multi-node training.
-
Experience using profiling tools (NVIDIA Nsight, PyTorch Profiler, or XLA/JAX profiling) to identify and resolve training bottlenecks.
-
Proficient in Python or C++.
-
Experience with ML compilers, performance tooling, or hardware/software co-design (e.g., GPU/TPU/accelerator architectures).
Skills
As published by lever · 5 questions · 2 written answers
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Other website
Short answers (1)
- If you attended an on-campus or virtual event, which did you attend? optional
Pick from a list (2)
- Sponsorship: Do you require sponsorship, or will you require sponsorship in the future for employment authorization in the United States? optional
- How did you hear about us? optional
Written answers (2)
- What is your preferred first name and last name? If your legal first and last name is your preferred name, you do not need to respond. optional
- Export Control and Compliance: For the sole purpose of determining export licensing requirements, please list any countries of which you are a citizen or legal permanent resident, and when you obtained such status.