Principal Physical Systems Architect
Listed on 2025-12-28
-
Engineering
Robotics, Systems Engineer, Automation Engineering, Electrical Engineering
Base pay range
$/yr - $/yr
Co-Founder , Recruiting Top GenAI, LLM, Computer Vision and Robotics TalentPrincipal Physical Systems, Robotics & Manufacturing Architect
Location: Bay Area (or equivalent manufacturing hub)
Level: Senior Principal / Distinguished Engineer (IC-first, light people leadership)
Role Summary
We are looking for a deeply technical, hands‑on engineer who understands how complex physical systems are actually built, scaled, and operated — and who can connect that understanding to modern robotics and AI systems.
You will act as a technical anchor for the company’s physical reality — ensuring that what we design can be built, calibrated, tested, and scaled in real industrial environments.
This is not an executive role and not a pure research role.
It is for someone who has personally shipped machines and understands why things fail when they leave the lab.
What You Will Do Own Physical Reality Across the Stack- Serve as a principal architect for physical systems spanning:
- Robotics and automation
- Sensors, actuators, electronics, and embedded controllers
- Firmware, real‑time systems, and controls
- Manufacturing processes, tooling, and test infrastructure
- Be the person who can reason end‑to‑end, from firmware timing constraints to factory yield curves.
- Partner closely with autonomy and AI teams to ensure:
- ML/RL/VLM‑based systems respect real‑time, safety, and physical constraints
- Data collection, simulation, and evaluation reflect manufacturing and field realities
- Translate autonomy and learning requirements into buildable hardware and process decisions.
- Bring hands‑on experience in serious manufacturing or esoteric physical environments, such as:
- Semiconductor tools or factory systems
- Precision optics, lasers, plasma, vacuum, or metrology
- High‑throughput robotic automation or complex production lines
- Identify failure modes related to tolerances, drift, wear, contamination, calibration, and process variability.
- Be deeply involved in:
- Design and architecture reviews
- Prototype bring‑up and system integration
- Failure analysis, root‑cause investigations, and corrective actions
- Set the technical bar through credibility and experience, not hierarchy.
- Mentor engineers across hardware, robotics, and autonomy on how systems behave at scale.
- Help the team internalize what will and will not scale, long before it becomes a problem.
- Establish norms around engineering rigor, test discipline, and physical intuition.
- 10–15+ years building complex physical systems that integrate hardware, software, and automation.
- Demonstrated experience in industry‑scale manufacturing environments or deeply technical physical processes.
- Strong understanding of embedded systems, firmware, and real‑time control.
- Working fluency with robotics autonomy concepts, including perception, planning, and learning‑based systems.
- Track record of taking systems from prototype → pilot → scaled deployment.
- Built or scaled semiconductor tools, factory automation, or advanced manufacturing equipment.
- Worked on robotic systems deployed in production, not just lab demos.
- Known for being able to debug problems that cross firmware, hardware, robotics, and process boundaries.
- Comfortable challenging AI/ML assumptions when they conflict with physical or manufacturing reality.
- Experience with digital twins, HIL, or sim‑to‑real tied to real manufacturing data.
- Exposure to ML/RL/VLMs in embodied or physical systems contexts.
- Patents or technical contributions grounded in real machines or processes.
Seniority Level: Mid‑Senior
Employment type- Full‑time
- Information Technology
- Technology, Information and Media
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).