Top Engineering Jobs in San Francisco, CA

Design, implement, and deploy real-time state estimation and sensor-fusion algorithms for autonomous UAVs (IMU, GNSS, visual odometry, radar). Build robust sensor pipelines, conduct simulation/lab/field testing, optimize for constrained hardware, and collaborate across autonomy, software, and hardware teams to transition research into fielded navigation solutions.

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 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.

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.

Plan, execute, and analyze ground and flight test campaigns for manned/unmanned aircraft. Develop test plans, coordinate pre/flight/post activities, collect telemetry, troubleshoot systems, validate requirements, document results, and improve test processes while supporting maintenance and range operations.

Lead enterprise systems and data architecture across business domains, define target-state architectures and integration patterns, rationalize shadow IT, guide sensitive-data placement in regulated multi-environment contexts, support major strategic programs, establish architecture governance and review practices, and coach engineering teams to raise architectural maturity.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Serve as the end-to-end Test Director for integrating, verifying, and flight testing Hivemind autonomy on small UAS. Own test readiness and execution, plan and run fly-fix-fly campaigns, set test strategy and success criteria, lead cross-functional teams, manage risk and safety-of-flight, define test infrastructure (SIL/HIL/simulation), approve procedures, document results, and report to leadership and customers.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design and develop primary and secondary structural components for a next-generation UAV. Perform CAD modeling, hand calculations, limited FEA, generate drawings and documentation, support validation and testing, collaborate with cross-functional teams, and iterate hardware through manufacturing and flight tests.