Top Engineering Jobs in San Francisco, CA

Design, build, and operate AWS cloud infrastructure, shared development environments, and containerized workloads. Automate provisioning and lifecycle management with Terraform and infrastructure-as-code tools, improve observability and reliability, troubleshoot infrastructure issues, implement IAM and security controls, and optimize cloud costs and capacity while partnering with engineering, cybersecurity, and operations teams.

Develop, integrate, validate, and field autonomy software for unmanned air, maritime, space, and expendable platforms. Lead feature crews or sub-programs, author interface contracts, coordinate with autonomy, perception, C2, and platform partners, and mentor engineers. Own mission-ready builds, hardware/software integration, live testing, debugging, performance optimization, simulation-based issue reproduction, and continuous process improvement. Travel 10–20% for customer sites, integration events, and mission tests.

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 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.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.