Top Engineering Jobs in San Francisco, CA

Lead camera ISP tuning and image quality evaluation for autonomous vehicle cameras. Collaborate with cross-functional teams and vendors to define specs, characterize sensors, develop ISP configurations, run objective/subjective IQ tests (Imatest), and optimize ISP for perception performance in production vehicles.

Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.

Provides on-site automotive technical support to GM dealerships across the Albany territory. Diagnoses and directs vehicle repairs, resolves escalated technical and customer issues, supports warranty and repurchase reduction, evaluates dealership service readiness, trains dealer personnel, reviews comeback processes, and communicates product concerns to GM engineering and quality teams. The role also supports arbitration and legal cases, manages dispatch cases, develops dealer relationships, and assists with technician recruitment and retention.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.