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

Build and scale cloud infrastructure and platform systems for autonomous drones. Projects may involve feature flags, backend performance optimization, test frameworks, CI/CD, telemetry, observability, and packaging cloud services for air-gapped or edge environments. The role offers hands-on software development experience across cloud, backend, and infrastructure technologies.

Design, model, architect, test, and optimize electric motor propulsion systems for autonomous drones. Responsibilities include analyzing motor losses and thermal behavior, developing finite element and simulation models, designing and optimizing outrunner PMSMs, creating test plans, performing measurements, and integrating motors with ESCs, batteries, propellers, and motor-control systems.

Design and architect electrical systems for autonomous drones, including embedded computing, power, RF, sensing, interconnect, cameras, and imaging electronics. Lead detailed design, validation, manufacturing integration, and troubleshooting of reliability, yield, EMI, and performance issues from development through high-volume production.

The Senior Software Engineer will develop native Android applications for drone control, bridging C++ libraries with the Android application layer, and mentor other engineers on best practices.

Leads Skydio’s Emerging Industries Solutions Engineering team, managing quota-bearing technical pre-sales professionals across emerging commercial segments, partners, and inside sales. Responsibilities include hiring and coaching, defining proof-of-concept qualification frameworks, driving technical wins, designing customer pilots, validating drone workflows and payloads, developing scalable technical assets, shaping product requirements, and representing customer needs internally. The role requires extensive knowledge of survey and mapping, integrations, specialized sensors, commercial judgment, and up to 50% travel.

Lead hardware test and reliability efforts for autonomous drones: define and execute validation strategies from prototype to production, perform failure analysis, drive corrective actions, contribute design-for-reliability, and use telemetry and data (Python/SQL/AI) to develop prognostics and reliability specs.

Leads manufacturing process development, validation, new product introduction, production scaling, and continuous improvement for advanced unmanned aircraft systems. Develops tooling, work instructions, control plans, capacity models, and production-readiness criteria. Partners with design, quality, supply chain, test, suppliers, and production teams to transition electromechanical products into high-volume manufacturing. Investigates defects, improves yield and throughput, supports automation, and provides hands-on assistance during pilot builds and production ramps.

Designs and develops embedded software and firmware for autonomous drones and accessories. Responsibilities include system architecture, vehicle software implementation, subsystem integration and validation, hardware bring-up, sensor and device drivers, Linux kernel and userspace development, debugging, optimization, and embedded security. The role collaborates closely with hardware and software teams and may involve bare-metal, RTOS, Linux, Android, microcontroller, and system-on-chip development.

Design and implement real-time computer vision algorithms for autonomous drones, including estimation, mapping, tracking, classification, and detection. Research and prototype new approaches, optimize systems for computationally constrained environments, measure vision-system performance, and contribute to software engineering across the platform. The role requires expertise in visual odometry, state estimation, mapping, SLAM, probabilistic inference, 3D geometry, deep learning, and high-proficiency C++.

Lead development of high-performance React Native mobile applications for drone pilots, first responders, mission commanders, and public users. Build video- and map-based interfaces, optimize native and cross-platform performance, establish architecture and testing standards, and own features through rollout. Collaborate with autonomy and cloud teams on real-time, data-intensive experiences involving telemetry, video, multi-drone operations, and field feedback.