Physical AI Architect
Quick Summary
About this role: Pickle is on the hunt for a dynamic and driven Physical AI Architect to revolutionize the future of warehouse automation. This is a senior technical role for someone who is equal parts deep practitioner and pragmatic builder — someone who understands the theoretical underpinnings…
At Pickle Robot, we're on a mission to automate global supply chains with Physical AI. Our robots work alongside warehouse teams to unload trucks and containers — one of the toughest, most understaffed jobs in logistics — making the work safer, faster, and more efficient for the people doing it. Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes.
We're looking for a dynamic and driven Physical AI Architect to revolutionize the future of warehouse automation. This is a senior technical role for someone who is equal parts deep practitioner and pragmatic builder, with a track record of shipping advanced AI systems into production hardware.
If you measure success in deployed systems rather than papers, this role is for you.
- Serve as the technical architect for Pickle Robot's Physical AI stack, owning the end-to-end design of perception, planning, and control systems deployed on production hardware
- Lead the application of diffusion-based policy learning and optimal control techniques to robot manipulation and picking tasks, with a focus on real-world reliability and cycle time performance
- Define the technical roadmap for how diffusion models and optimal control complement each other in Pickle Robot's autonomy architecture, and build internal alignment around that vision
- Drive hardware integration across sensors, compute, and actuators, partnering closely with firmware, mechanical, and software engineering teams to ensure AI systems are co-designed with the physical platform and grounded in operational realities
- Identify and resolve performance bottlenecks at the intersection of model inference, motion execution, and hardware throughput
- Mentor senior engineers and help grow the technical depth of the broader autonomy team
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- March 13, 2026
- First seen
- April 15, 2026
- Last seen
- October 4, 2026
Posting Health
- Days active
- 171
- Repost count
- 0
- Trust Level
- 37%
- Scored at
- October 4, 2026
Signal breakdown
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