Zoox - United States

Lead the Robot Data Visualization team at Zoox in Foster City, building high-performance web tools for autonomous vehicle data. Requires 3+ years managing engineers, 7+ years in software development, and expertise in WebGL, Three.js, and browser performance.

Lead ML performance optimization at Zoox in Foster City as Engineering Manager. Requires 8+ years experience, 3+ years managing engineers, and deep expertise in distributed training, GPU optimization, and ML infrastructure.

Join Zoox as a Contract Student Worker in Fleet Maps Validation at Foster City. Build automated validation and gating pipelines for autonomous driving software using Python. Commit 40 hrs/week for 3+ months.

Join Zoox as an Administrative Business Partner in Foster City, supporting key executives in a fast-paced, mission-driven environment. Requires 4+ years of EA experience, strong organizational and communication skills, and proficiency with Google Suite and MS Office.

Zoox seeks a GPU performance expert to optimize CUDA kernels and ML inference for its robotaxi motion planner in Boston. Requires 6+ years experience, strong C++ and CUDA skills, plus Nsight debugging expertise.

Join our Prediction & Behavior ML team in Foster City as a Learned Trajectory ML Engineer. Develop deep learning models for autonomous driving plans using imitation and reinforcement learning. Requires BS/MS/PhD, transformer and RL experience, C++ or Python.

Join Zoox as a Software Engineer on the Robot Software Infrastructure team in Foster City. Develop embedded Linux OS platforms for Robotaxi, working with Yocto, U-Boot, and kernel drivers in C/C++.

Join Zoox in Foster City as a Senior Software Engineer, Continuous Deployment. Build and operate a continuous deployment platform with Kubernetes, Harness, and Terraform. 5+ years of engineering experience required.

Join Zoox as a Perception Deployment Engineer in Foster City to deploy large-scale perception models on vehicle SOCs. Requires C++/Python, CUDA, quantization (PTQ/QAT), and TensorRT expertise for real-time edge inference.