Senior ML Platform Engineer - Scalable Autonomous Training

Zoox; Seattle (WA); On-site; USD 254,000 - 350,000; Full time

Job summary

Zoox is building autonomous robotaxi with scalable ML infrastructure for training foundation models and multi-modal systems. In this role you will own the training performance stack and drive optimizations across data, tensor, and pipeline parallelism.

You will partner with autonomy teams and mentor engineers while shaping a multi-quarter roadmap for RL and large-scale training. This is a hands-on leadership role in a fast-moving environment.

Qualifications

• 7+ years total experience with 4+ years in large-scale model training platforms.
• Experience with Megatron-LM, TorchTitan and GPU/accelerator clusters at scale.
• Experience with RL frameworks (Verl/MILES) and algorithms (GRPO, PPO).
• Experience with collective communication libraries (e.g., NCCL) and optimizing communication/compute overlap in multi-node training.
• Strong command of profiling tools (NVIDIA Nsight, PyTorch Profiler, or XLA/JAX profiling).
• Proficiency in Python or C++ and ML compilers or performance tooling.
• Ability to influence across teams and communicate technical tradeoffs to researchers and engineers.

Responsibilities

• Lead the design, implementation, and operation of training performance optimizations (data/tensor/pipeline parallelism, mixed precision, gradient checkpointing, GPU kernels) to scale VLM, VLA, and Foundation model training.
• Own the technical strategy and multi-quarter roadmap for RL framework and RL performance optimization for driving foundation models.
• Drive profiling and root-cause analysis of throughput bottlenecks across the compute, compiler, framework, and cluster-networking stack.
• Partner with ML researchers, data engineers, and hardware engineers to define requirements and make architectural decisions for large-scale training infrastructure.
• Build custom kernels and benchmarks that track and validate performance gains across the stack.
• Mentor engineers and raise the team’s technical bar through design reviews and best practices.

Skills

Python/C++

Distributed training

Profiling tools

Team leadership

Tools

Megatron-LM

TorchTitan

NCCL

Nsight

PyTorch Profiler

XLA/JAX profiling

Job description

Zoox is building autonomous robotaxi with scalable ML infrastructure for training foundation models and multi-modal systems. In this role you will own the training performance stack and drive optimizations across data, tensor, and pipeline parallelism.

You will partner with autonomy teams and mentor engineers while shaping a multi-quarter roadmap for RL and large-scale training. This is a hands-on leadership role in a fast-moving environment.