DeepRec.ai
Base pay range
$250,000.00/yr - $350,000.00/yr
Co-Founder at DeepRec.ai, Recruiting Top GenAI, LLM, Computer Vision and Robotics Talent Principal 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.
Bridge Robotics, AI, and Manufacturing
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.
Deep Manufacturing & Process Insight
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.
Hands‑On Technical Leadership
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.
Raise the Organization’s Physical Systems IQ
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.
What We’re Looking For Required Experience
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.
Strong Signals (One or More)
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.
Bonus (Differentiators)
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 Seniority Level:
Mid‑Senior
Employment type
Full‑time
Job function
Information Technology
Industries
Technology, Information and Media
#J-18808-Ljbffr
$250,000.00/yr - $350,000.00/yr
Co-Founder at DeepRec.ai, Recruiting Top GenAI, LLM, Computer Vision and Robotics Talent Principal 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.
Bridge Robotics, AI, and Manufacturing
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.
Deep Manufacturing & Process Insight
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.
Hands‑On Technical Leadership
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.
Raise the Organization’s Physical Systems IQ
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.
What We’re Looking For Required Experience
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.
Strong Signals (One or More)
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.
Bonus (Differentiators)
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 Seniority Level:
Mid‑Senior
Employment type
Full‑time
Job function
Information Technology
Industries
Technology, Information and Media
#J-18808-Ljbffr