Staff Software Architect, Robotics & AI

DivergentTorrance, CA
$141,380 - $224,500

About The Position

Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world’s most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. We are seeking a Software Architect to lead design and architecture for the Robotics & AI Software Team. You will define system-level designs spanning real-time robotics control, planning/optimization, and generative AI / autonomous agents — with deep expertise in C++ and Python, end-to-end GUI development, and infrastructure/deployment at scale.

Requirements

  • 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, and performance-sensitive software design.
  • System architecture experience: design scalable, reliable, integrated software systems.
  • End-to-end GUI experience: design/architect operator-facing applications for monitoring, diagnostics, and control.
  • Infrastructure/deployment architecture: CI/CD, automated testing, containerization (Docker/Kubernetes), build systems (CMake), debugging, production-grade delivery.
  • Strong Git, documentation, technical leadership, and cross-functional collaboration.

Nice To Haves

  • Robotics & Control: ROS/ROS2, MoveIt, kinematics/dynamics, trajectory generation, industrial automation/mechatronic integration.
  • Planning & Optimization: SAT/SMT, combinatorial optimization, constraint programming, PDDL/planners, open-source planning/scheduling libraries, cloud-native/scalable architecture.
  • Generative AI & Agents: LLMs/multimodal models, agentic patterns (function calling, reasoning loops, autonomous error correction), frameworks (LangGraph/LangChain/LlamaIndex), vLLM/PyTorch/HuggingFace, production multi-agent systems, inference optimization, MLOps, model monitoring/reliability, ethical AI/compliance.
  • Domain & Credentials: Advanced manufacturing, aerospace, automotive, robotics; Master’s/Ph.D. with publication/open-source record; C#/TypeScript; experience leading medium-to-large architectural initiatives.

Responsibilities

  • Own system architecture for multithreaded C++ and Python applications across robotics control, automation, AI/ML, and optimization pipelines.
  • Architect end-to-end solutions from design through production deployment: operator-facing GUIs, diagnostics, monitoring, simulation/modeling, calibration, and fault-detection systems.
  • Design scalable, reliable integrations with robotics stacks (ROS/ROS2, MoveIt), electromechanical hardware, sensors, and manufacturing systems.
  • Define architecture for planning/optimization (SAT/SMT, constraint programming, PDDL/planners) and generative AI / agentic systems (LLMs, multimodal models, multi-agent orchestration, inference optimization).
  • Establish CI/CD, containerization (Docker/Kubernetes), build systems (CMake), automated testing, code quality, and engineering best practices across teams.
  • Lead technical design, review, and mentoring; collaborate cross-functionally with controls, electrical, mechanical, systems, manufacturing, data, legal, and product.
  • Drive commissioning, troubleshooting, and continuous improvement; support production hardware integration.

Benefits

  • Competitive salary
  • Equity plan
  • Discretionary results-based incentive bonus opportunities
  • Paid vacation
  • Sick time
  • Company holidays
  • Year-end shutdown
  • Paid parental leave
  • Comprehensive health and wellness benefits (HMO and Premium PPO options)
  • Company-sponsored life insurance
  • Short and long-term disability coverage
  • Reimbursement opportunities for learning and development initiatives
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