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

Design and develop tactical autonomy algorithms and high-performance software for unmanned systems. Implement behavior architectures, planning, decision-making, multi-agent coordination, and hybrid rule-based/machine-learning autonomy. Integrate capabilities with perception, simulation, hardware, and flight-test teams; deploy to real platforms; support field testing and flight demonstrations. Analyze mission data, troubleshoot performance, research new algorithms, and adapt solutions for defense programs. Travel is typically 10–15% annually.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support live flight tests, and troubleshoot hardware, software, and embedded-system issues. Capture and analyze flight data, collaborate with autonomy, GNC, systems, and test teams, improve integration processes, and support certification and airworthiness compliance. The role requires 30–40% travel to test sites, customer locations, and flight integration events.

Leads technical direction for autonomous pilot integration across multiple unmanned-platform programs. Develops and deploys C++ autonomy software, integrates onboard systems, validates through simulation and hardware testing, troubleshoots embedded systems, and supports live field missions. Drives architecture, interoperability standards, documentation, process improvements, and cross-team collaboration. Mentors senior engineers and team leads, represents engineering to customers and partners, supports hiring, and travels approximately 10–20% for integration and test events.

Design and develop tactical autonomy algorithms and high-performance software for unmanned systems across air, land, sea, and space domains. Implement behavior architectures, multi-agent coordination, planning, decision-making, and hybrid rule-based and machine-learning solutions. Integrate and test autonomy capabilities on real platforms, analyze mission data, support flight demonstrations, and contribute to research and roadmap development for defense programs.

Design and develop high-performance autonomy software for unmanned aircraft and multi-agent systems. Implement tactical behaviors, planning, decision-making, coordination, and hybrid rule-based and learning-based autonomy. Integrate capabilities across perception, simulation, hardware, and flight-test teams; deploy and validate software on real platforms; analyze mission data; and contribute to technical roadmaps. Lead technical direction, mentor engineers, manage full software lifecycles, and support defense programs, integration events, and field testing.

Lead the architecture and implementation of a Kubernetes-native AI Factory platform for distributed training, simulation, evaluation, inference, and deployment. Build GPU infrastructure, scheduling, storage, networking, observability, model lifecycle capabilities, and self-service developer workflows across cloud, on-premises, sovereign, and air-gapped environments. Partner with ML researchers and autonomy teams while providing technical leadership on scalable, maintainable AI infrastructure.

Lead end-to-end U.S. federal, international government, and commercial proposal efforts for the Asia/Middle East go-to-market team. Coordinate cross-functional teams, manage compliance and schedules, oversee reviews and submissions, improve proposal processes, mentor contributors, and support briefings, customer meetings, demonstrations, and events. Develop related deliverables including RFIs, ROM pricing estimates, and white papers.

Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.

Serve as a strategic HR partner to senior Engineering and Product leaders. Develop organizational, workforce, talent, leadership, and change strategies; advise on organizational design, succession, retention, and leadership effectiveness; use people analytics to guide decisions; and lead people-related M&A due diligence and integration efforts. Collaborate across People Experience, Finance, Legal, Corporate Development, Product, and other functions in a fast-paced global technology organization.

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.