Zoox

HQ
Foster City
Total Offices: 8
2,900 Total Employees
Year Founded: 2014

Zoox Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Offers unpaid extended leave

Provides paid holidays

Provides bereavement leave

Recently posted jobs

Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Lead the architecture and strategy for onboard GPU execution in Zoox autonomous vehicles. Define GPU scheduling, multi-tenancy, isolation, deterministic latency, compute budgets, hardware selection, and inference performance direction. Drive end-to-end reductions in latency, utilization, power, and cost across models, runtimes, middleware, and hardware. Provide technical leadership, mentor senior engineers, align cross-functional teams, and lead platform bring-up and performance optimization.
15 Days AgoSaved
In-Office
2 Locations
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Lead ML training performance for large-scale VLM, VLA, foundation-model, and reinforcement-learning systems. Design distributed parallelism, mixed-precision strategies, gradient checkpointing, GPU kernels, profiling workflows, and performance benchmarks. Own RL optimization strategy and roadmap, diagnose bottlenecks across compute and networking layers, partner with research and engineering teams on architecture, and mentor engineers.
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Design, train, and validate machine learning models that improve simulated LiDAR, radar, and camera realism for autonomous vehicle simulation. Build datasets from real and simulated sensor data, integrate 3DGS and NeRF reconstruction, develop generative augmentation methods, define sensor realism metrics, reduce sim-to-real gaps, and mentor engineers and interns.