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

The Autonomy Software Engineer will develop and deploy autonomous capabilities for drones, collaborating with cross-functional teams and maintaining high code quality.

As a deep learning infrastructure engineer, you will build and optimize systems for deep learning, focusing on computer vision tasks and MLOps workflows.

Develop and enhance the Skydio Simulator's core architecture focusing on physics, sensor simulation, and system performance. Collaborate with engineers to ensure accurate behavior of vehicles both in simulation and reality, improving realism and operational efficiency.

The software engineer will develop cloud-native simulation services, design APIs, and build full-stack applications for Skydio's simulator, ensuring scalability and reliability.

This role involves developing tools and infrastructure for autonomy systems, focusing on backend and frontend aspects to enhance testing and diagnostics for engineers.

Lead supplier quality activities for PCB/PCBA and electronics suppliers: audits, supplier qualification (FAI, PVT), quality planning (PFMEA, control plans), SCAR/8D investigations, KPI scorecards, manufacturing readiness, data-driven trend analysis, and collaborate cross-functionally to ensure manufacturability, testability, reliability, and volume production quality.

Lead UX strategy and execution for Skydio's autonomous flight products, designing trustworthy interfaces across Web, Mobile, and Ground Control Stations. Define vision, map critical user journeys, build high-fidelity prototypes, collaborate with Product and Engineering, conduct on-site field research in high-stress environments, and solve novel UX challenges for robotics, avionics, and geospatial systems.

Design, implement, and support automated manufacturing control systems. Program and troubleshoot PLCs, HMIs, and SCADA; integrate industrial robots for dispensing, fastening, and soldering; develop electrical schematics and system architectures; collect and monitor production data; collaborate with manufacturing, process, and quality teams; ensure safety and regulatory compliance.

Lead global sourcing for electromechanical commodities (antennas, connectors, cables, harnesses). Develop commodity roadmaps, identify suppliers, run RFI/RFP/RFQ processes, negotiate contracts, manage supplier performance, maintain forecasts, collaborate with engineering and finance, and drive cost-reduction through should-cost models.

Own end-to-end manufacturing test readiness: design and implement automated test equipment and Python-based test software, analyze MES/manufacturing data to drive yield and test-time improvements, lead production investigations and root-cause analysis, support NPI, and maintain hardware-in-loop CI and high software quality.