Divergent
Staff Software Architect, Robotics & AI
$141K–$224K
Torrance, California, United States · Staff · Full-time · Posted Sep 14, 2026
- Experience
- 5+ years of professional experience, including architecture/design experience.
- Education
- Bachelor’s in Computer Science, Robotics, AI/ML, or related field.
About the job
Leads the architecture and production delivery of robotics and AI software, spanning real-time control, planning and optimization, operator-facing applications, and AI agent systems.
What you'll do
- Own architecture for C++ and Python applications across robotics, automation, AI/ML, and optimization.
- Design end-to-end solutions, including operator GUIs, monitoring, diagnostics, simulation, calibration, and fault detection; integrate robotics stacks, hardware, sensors, and manufacturing systems.
- Set engineering practices and lead design reviews, mentoring, deployment, commissioning, troubleshooting, and cross-functional collaboration.
What they ask for
- Ability to lawfully access information and technology subject to U.S. export controls.
- Bachelor’s in Computer Science, Robotics, AI/ML, or related field, with 5+ years of professional experience including architecture/design experience.
- Expert proficiency in modern C++ (C++17 or newer) and Python; strong multithreaded, real-time, performance-sensitive software design.
- Experience architecting scalable, reliable software systems, end-to-end GUIs, and production infrastructure and deployment.
Nice to have
- Robotics experience with ROS/ROS2, MoveIt, or industrial automation; planning and optimization methods such as SAT/SMT or PDDL.
- Generative AI/agent systems experience; advanced manufacturing, aerospace, automotive, or robotics domain experience; Master’s/Ph.D., C#/TypeScript, or leading architectural initiatives.
Pay
$141,380 — $224,500 USD (base salary)
Tools
C++17, Python, ROS/ROS2, MoveIt, Docker/Kubernetes, CMake, Git, LLMs
AI focus
Architect generative AI and agentic systems, including LLMs, multimodal models, multi-agent orchestration, inference optimization, and AI/ML pipelines.
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