Software Engineer, ML Performance Optimization
AI summary of the role
Drive ML performance optimization for autonomous driving models at Zoox, working with SOTA accelerators and techniques like distributed training, quantization, distillation, and pruning.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Drive ML Performance Optimization initiatives to make ML models for autonomous driving as fast and efficient as possible
- Work with SOTA accelerators and cutting-edge techniques in distributed training, quantization, distillation, and pruning
- Collaborate closely with all Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance
- Build and operate the base layer of ML tools, model development, and serving systems for in- and off-vehicle ML use cases
What you’ll bring
- Strong software engineering skills
- Experience with ML performance optimization
- Experience with distributed training, quantization, distillation, or pruning
- Ability to work with SOTA accelerators
Technologies
SOTA accelerators · distributed training · quantization · distillation · pruning · Foundation models · VLMs · VLAs · ML tools · serving systems
About Zoox
Builds and operates an all-electric, purpose-built autonomous robotaxi service, controlling the full stack from vehicle design to fleet operations.
Growth
Source and classification
Internal deployment & tooling · Evidence for this classification:
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception,
More from the job description
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deplo [... source excerpt omitted ...] more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi. Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions. Qualifications Note: You do not have to meet all the requirements below to be considered for this pos
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