Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead program management for deployment of operations infrastructure supporting autonomous vehicle sites. Coordinate cross-functional teams to enable charging, maintenance, data offload, and site readiness. Establish reporting, identify and mitigate risks, scale enablement processes across cities, and drive decisions accounting for operational costs, vehicle needs, and software features.

Lead development of automation frameworks, tools, and web-apps to streamline platform safety clearance and system-level validation (HIL/SIL). Build dashboards, execute and debug automated verification tests, and propose process improvements.

Develop multimodal large language models for autonomous vehicles, optimizing performance and safety through advanced machine learning techniques and real-world data validation.

Develop and maintain tools for safety-critical software, automate processes, and collaborate with cross-functional teams. Requires substantial experience with various programming languages and cloud technologies.

The Quality Engineer will ensure proper quality standards for parts received and products released, coordinate rework activities, and lead quality improvements in manufacturing processes.

The Manufacturing Process Quality Engineer will ensure high product quality in assembly and EOL testing, develop quality checks, conduct analysis, and resolve quality issues, collaborating with various teams.

Develop and maintain full-stack applications for Zoox’s autonomous ride-hailing platform, collaborating across teams to enhance fleet operations and reliability.

Lead and grow a team of autonomy perception TPMs, set program direction, translate strategy into roadmaps, manage schedules, risks, budgets, and stakeholder communications across autonomy software teams.

The role involves optimizing 3D rendering of sensor data using GenAI/ML, collaborating with teams to enhance sensor simulation realism, and ensuring high fidelity in synthetic data generation.

Develop advanced multimodal large language models for autonomous driving, optimize solutions using real-world scenarios, and collaborate with engineering teams.