Top Tech Jobs & Startup Jobs in San Francisco, CA

Develop and test embedded firmware for UAS flight systems. Integrate sensors and processors, debug hardware/software issues using oscilloscopes and logic analyzers, write real-time RTOS-based code in C/C++, perform flight test validation, and collaborate with cross-functional engineering teams.

Lead system safety activities across the product lifecycle including safety architecture, FHA/FTA/SCFTA, hazard and risk management, and safety verification testing. Develop safety program plans, technical documentation, data collection frameworks, and test plans. Serve as primary customer interface for safety reviews (THAR, NNMSB), support milestone reviews, and drive corrective actions and compliance with MIL-STD-882E.

Design, build, and operate scalable hybrid compute infrastructure (cloud and on-prem) for large-scale autonomous vehicle simulations. Implement Kubernetes orchestration, job scheduling, CI/CD, IaC/GitOps, monitoring, networking, storage, and automation to support massive parallel simulation workloads and ML training. Collaborate with autonomy, ML, and robotics teams to optimize performance, reliability, and cost.

Lead development of perception architecture for UAS seeker and world-modeling systems: design target detection/tracking/state estimation, fuse multi-sensor data (VIO/SLAM/target tracks), build ROS2/DDS interfaces, optimize C++ for embedded deterministic performance, support integration/HIL and mentor junior engineers while contributing reusable components to a shared AI/ML platform.

Build high-fidelity RGB and long-wave IR camera models and synthetic-data pipelines in Unreal Engine, stream sensor feeds to ROS 2, and generate labeled datasets and dynamic targets to validate perception, tracking, and Target State Estimation (TSE) software. Optimize rendering for real-time and headless simulation, manage 3D asset pipelines, and integrate perception sim into CI/CD for continuous evaluation.

Build and deploy LLM-powered applications, RAG systems, and agentic workflows; operate model serving and AI infrastructure on Kubernetes; integrate tools with identity and data-access controls; implement CI/CD, automation (Ansible/IaC), and observability; manage vector DBs, ingestion pipelines, and evaluation frameworks to deliver reliable, secure AI services for cross-company use.

Process semi-monthly payroll and maintain Paychex as system of record; manage multi-state tax registrations and POAs; administer garnishments and leave pay; reconcile payroll, support month-end close, maintain payroll records, and coordinate with HR, finance, and external providers while improving payroll automation and timekeeping processes.