Engineering Manager (ML Performance Optimization)

• Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization
• The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques
• We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets
• You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox
• You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains
• Vision: Develop and execute a strategic vision and roadmap for ML Training and Inference Performance Optimization, ensuring scalability, reliability, and performance to support autonomous driving
• Technical acumen: Lead the design, implementation, and operation of a robust and efficient ML platform to enable the training, validation, serving, optimization and monitoring of ML models
• ML Performance Optimization: Drive end-to-end performance optimization for large-scale model training and inference, including distributed training efficiency, GPU utilization, memory and communication optimization, model compression (quantization, pruning, distillation), and low-latency on-vehicle inference that meets strict real-time and compute budgets
• Hiring: Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence
• Partnership: Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions
• Mentorship: Enable engineers on the team to grow their careers by providing the right opportunities and clear, timely feedback

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks
• Strong technical background in ML performance optimization, such as distributed training strategies (data, tensor, pipeline parallelism, FSDP/ZeRO), mixed-precision training, kernel-level optimization (CUDA, Triton), compiler stacks (torch.compile, XLA, TVM), quantization, and profiling/benchmarking across GPU and embedded accelerators
• Experience building user-friendly ML Infrastructure that enabled large-scale model training and high-throughput, low-latency serving use cases
• Proven track record of extensive cross-functional collaboration, partnering with research, product, hardware, and platform teams to align priorities, influence technical direction, and deliver measurable performance improvements across organizational boundaries
• Experience with training frameworks like PyTorch, JAX, etc., leveraging GPUs for distributed model training
• 8+ years of relevant experience, including 3+ years of management experience managing engineers
• You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills