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

The Technical Program Manager oversees customer deployments, coordinates with engineers, manages risks, and improves processes for successful project execution.

The MLOps Engineer will design and maintain ML infrastructure, enhance workflow efficiency, and collaborate with teams to improve AI model deployment and management.

Design, implement, and optimize software for edge devices integrated with hardware. Collaborate with hardware engineers, lead code reviews, mentor junior engineers, troubleshoot field issues, and ensure system reliability, security, and performance in operational environments.

Develop, test, and deploy CV/ML software from prototype to production. Implement cloud pipelines for monitoring algorithm and device health, perform root-cause analysis on algorithm failures, build post-processing AI services and internal tooling, and collaborate with device, cloud, and algorithm teams to improve production performance.

Design and implement automated and manual test fixtures, perform component-level failure analysis and debugging using oscilloscopes, multimeters, and protocol analyzers, produce detailed FA reports, and analyze RMA trends to recommend design or firmware improvements to increase field reliability.

As a Senior Software Engineer, you will optimize cloud-based ML operations and maintain code quality while collaborating with various teams.

The Senior State Estimation Engineer will develop and implement real-time pose estimation algorithms, collaborate on multidisciplinary projects, and mentor junior engineers, focusing on large-scale mapping and sensor calibration.

Lead end-to-end mechanical design and product architecture for vehicle-mounted, rugged AI hardware. Own sheet metal and structural design, perform FEA/vibration/thermal analyses, drive prototype-to-production, partner with cross-functional teams and suppliers, and support domestic and international pilot installations.

Lead electrical design and delivery of automotive-grade Edge AI computers and cameras from concept to production. Manage and mentor EE team, drive cross-functional collaboration, prototype and validate hardware, develop test plans, ensure regulatory compliance, partner with vendors and contract manufacturers, and keep projects on time and budget. Requires onsite presence in San Francisco.

Lead a team focused on developing mapping and SLAM solutions for embedded camera systems, ensuring collaboration across teams and managing project execution.