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

Lead and manage the autonomy team to develop cutting-edge drone technologies, focusing on software engineering and computer vision. Responsible for hiring, mentoring, and executing the product roadmap while collaborating across teams.

The Electrical Engineer will design and develop electrical systems for drones, focusing on embedded systems, high-quality production, and reliability issues.

The Senior Technical Recruiter will lead the recruitment of engineering and operations talent, managing relationships with hiring teams, developing candidate pipelines, and ensuring a top candidate experience.

As a Senior Full Stack Software Engineer, you'll design and build cloud and geospatial systems for autonomous drone operations, collaborating cross-functionally and managing features from end to end.

As a Senior Embedded Software Engineer at Skydio, you'll architect and implement firmware for drones, collaborate with hardware teams, and validate key subsystems.

The Staff Product Manager will own the Cloud Platform & Infrastructure roadmap, driving cross-functional delivery and managing compliance for government and commercial platforms while engaging with customers to meet their needs.

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.

Build, operate, and scale production cloud infrastructure and Kubernetes/EKS clusters on AWS. Own Terraform-defined infra, CI/CD, observability, networking, and reliability. Troubleshoot production incidents, participate in on-call rotations, automate operational work with Python/Go, and expand multi-region deployments.

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.