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

The role involves leading signal integrity and EMC strategies for autonomous vehicles, ensuring electrical reliability and compliance through simulations, testing, and collaboration across teams.

The Senior Technical Program Manager will oversee complex manufacturing infrastructure projects, manage external partners, and ensure cross-functional integration to achieve seamless operational readiness in manufacturing.

Partnering across Product, Data Science, Fleet Operations, and Finance, you will own pricing and promotions operations, build commercial health metrics and reporting cadences, translate supply-demand dynamics into operational inputs, connect commercial decisions to P&L outcomes, and synthesize messy data into clear, decision-ready recommendations for leadership.

Lead cross-functional initiatives to ensure safety requirements for Zoox's autonomous software and vehicle platform. Oversee verification and validation programs, manage risks, and drive program execution across teams.

Lead vehicle and fleet energy management strategy, develop energy budgets and saving features, build software control strategies, create digital vehicle models with simulation teams, and integrate models for fleet-wide energy performance and optimization.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

The Staff Site Reliability Engineer will lead source control strategy, manage Git-based monorepo operations, improve developer productivity, and oversee migrations to GitHub Cloud.

Support Commercial Operations FP&A for Zoox's Robotaxi business by building and maintaining long-range and short-term financial models, producing city-level market analysis, analyzing large datasets from enterprise systems, partnering cross-functionally to industrialize data pipelines, and supporting systems implementation to deliver actionable financial insights.

Own and architect a distributed test-orchestration platform for build integrity tests; lead a small engineering team; ensure resilience, reliable task scheduling/execution, result collection, and provide APIs/frameworks for cross-team integration across manufacturing and fleet.

Design and optimize on-vehicle perception inference: allocate CPU/GPU resources, compress and quantize large multimodal models, build TensorRT model conversion pipelines, and deliver production-quality low-latency C++/CUDA inference for power- and thermal-constrained vehicle SoCs.