Industrial System Integrator Lead

Role: Industrial System Integrator Lead

Edge Deployment & Infrastructure | High Ownership & Technical Leadership

Location: Mountain View, CA (with significant travel to customer sites)

Compensation: $150,000 – $180,000 equity (based on experience)

Travel: 30–50%, including extended on-site deployments

We are building the largest industrial robotic workforce on Earth to revitalize American manufacturing in the dirty, dull and dangerous tasks.

We are a small team with deep roots in manufacturing, industrial automation and physical AI, and we are tackling one of the most formidable engineering challenges of our time: deploying and orchestrating fleets of intelligent industrial robots at the edge. To do this, we are unleashing the full power of NVIDIA's most advanced compute, SOTA ML models in harsh environments where 99.99% task completion isn't a goal, it's the starting point.

As the Industrial System Integrator Lead, you are the field general responsible for the physical realization of our AI. You will lead the effort to integrate our high-level software stack with industrial hardware, PLCs, and safety systems. You aren't just installing robots; you are designing the architecture that allows SOTA AI to survive and thrive in the chaos of a real factory.

• Lead the end-to-end integration of the Workr AI platform with industrial robot arms (ABB, Fanuc, Kawasaki, etc.) and peripheral hardware.
• Design and implement communication protocols between our edge compute and factory-floor infrastructure (EtherNet/IP, Profinet, Modbus).
• Architect safety-rated control systems, ensuring all deployments meet RIA/ISO standards while maintaining high performance.
• Lead on-site commissioning and deployments, managing everything from electrical panel integration to final sensor calibration.
• Develop "Sim-to-Real" pipelines in collaboration with Simulation Engineers to ensure physical deployments match virtual models.
• Troubleshoot complex "ghost in the machine" issues—hardware timing jitter, network latency at the edge, and EMI in harsh environments.
• Build the integration playbook: Create the standards and documentation that will allow us to scale from one site to one thousand.

• 4 years of experience in industrial automation and systems integration.
• Education: Bachelor's degree or trade certification in Mechatronics, Electrical or Mechanical Engineering, or related experience in the field.
• Robotics Native: Extensive experience with industrial robot programming and the integration of End-of-Arm Tooling (EOAT).
• Master of the Industrial Stack: Deep expertise in PLC programming, control systems, safety control and industrial networking.
• Hands-on Leader: You are as comfortable red-lining an electrical schematic as you are leading a technical review with customer stakeholders.
• Industrial Compute: Unlike traditional integrators, you are comfortable in a terminal and can navigate a modern software stack to bridge the gap between IT and OT.
• Safety-Minded: Familiarity with industrial safety standards (OSHA, NFPA 70E/Arc Flash, Lockout/Tagout, ANSI/RIA). Certifications such as OSHA 10/30 are a plus.
• Grit: You thrive in the challenge of the factory floor and are ready for significant travel to ensure our robotic workforce is successfully deployed.

• Ability to work in active industrial environments, including lifting up to 50 lbs, and working around heavy machinery.

• Direct the physical rollout of the world's most advanced industrial AI.
• High ownership and autonomy where your deployment strategies define our scalability.
• Work alongside a small, high-caliber team of experts in robotics, perception, planning, and systems engineering.
• Join a rapidly growing company with huge future scope and a mission to win for American manufacturing.

• Competitive compensation including salary and equity in a seed-stage venture-backed startup.
• Comprehensive health insurance.

Your work is the final, critical step in the chain. You take the AI out of the lab and put it to work. We're solving brutally hard problems to help American manufacturers win. If you have the grit to ship real-world AI, don't let a checklist stop you from applying.