Top Tech Jobs & Startup Jobs

Lead technical development of machine learning algorithms for the onboard Planner, advancing imitation learning, reinforcement learning, and model scaling; integrate foundation models; create metrics, data, and training frameworks; mentor ML developers; and collaborate across perception, simulation, system design, and safety teams to solve autonomous driving challenges in complex urban environments.

Design and productionize ML/DL algorithms and agentic LLM triage systems, run and maintain multiple production data pipelines (Databricks/AWS), monitor and fix pipeline issues, build monitoring tools and dashboards, and collaborate with data science, planning, safety, and QA stakeholders.

Lead development and evolution of fail-operational metrics and frameworks for autonomous driving, define classification/triage methods, set metric targets, integrate event observations into risk estimates, and partner cross-functionally to escalate mitigations and communicate findings to stakeholders.

Design, implement, and maintain geometry algorithms, mapping data formats, validation frameworks, and post-processing pipelines. Build and grow APIs consumed by downstream teams, collaborate cross-functionally, produce documentation and tests, and contribute across the software development lifecycle to support vehicle localization and mapping.

Lead optimization and scalability of core business functions. Design and implement end-to-end processes, driving stakeholder alignment and change management to support company growth.

As a Senior Software Engineer in 3D Simulation Applications, you'll collaborate with teams to develop scalable simulations for autonomous systems, integrating ML models and improving products based on customer feedback.

The Staff Software Engineer will design and implement web applications for Zoox's autonomous ride-hailing service, mentor junior engineers, and provide architectural leadership across various domains.

The Site Reliability Engineer at Zoox will manage the availability and resilience of services for autonomous vehicles, design systems, and lead incident resolution.

The Operations Lead will manage the Perception Data team, overseeing data collection and labeling for AI models, ensuring high quality and timely delivery while working with ML engineers and external partners.

The role involves optimizing machine learning models for autonomous driving by implementing performance techniques and collaborating with cross-functional teams on architectural decisions.