Pickle Robot Company

Physical AI Architect

Charlestown, MA · Staff+

Sponsorship not specifiedDetected 130 days ago

PythonC++Machine LearningRoboticsControlsResearchCommunicationActuators

About the role

Pickle is on the hunt for a dynamic and driven Physical AI Architect to revolutionize the future of warehouse automation.
You will serve as the technical authority on how modern AI approaches translate into real robot behavior, bridging cutting-edge methods with the reliability and performance demands of high-throughput logistics.
If you are energized by closing the gap between research and reality, and 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.
Drive hardware integration efforts across sensors, compute, and actuators - ensuring AI systems are co-designed with the physical platform from the ground up.
Partner with firmware, mechanical, and software engineering teams to ensure AI design decisions are grounded in hardware constraints and operational realities.
Strong command of optimal control theory and practice, including model predictive control (MPC), trajectory optimization, and feedback control design for physical systems.
Strong systems-level thinking - you design for maintainability, observability, and failure modes, not just peak performance.
Excellent communication skills and the ability to drive technical decisions across cross-functional teams.
We build systems that companies and their teams love.
Pay at Pickle At Pickle Robot Company, we believe transparency builds trust.

Hands-on experience with hardware integration: sensor pipelines (RGB-D, force/torque, encoders), embedded compute (NVIDIA Jetson, ARM SoCs, FPGAs), and actuator interfaces.
Proficiency in Python and C++
familiarity with ROS 2 or equivalent robotics middleware.
Experience with real-time systems constraints and the performance tradeoffs inherent in deploying learned models on robot hardware.
Demonstrated track record of shipping AI-powered systems to production - we want to hear about systems you have deployed, not just prototyped.
Proficiency in Python and C++; familiarity with ROS 2 or equivalent robotics middleware.

The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role.
Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.

About Pickle Robot Want to get in on the ground floor of a fast-growing, VC-backed robotics company?
Pickle automates this process using AI, machine learning, and robotics to deliver reliable products.
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.
Deep subject matter expertise in diffusion models applied to robot learning (e.g., diffusion policies, score-based generative models for behavior cloning or planning).

This listing is sourced directly from Pickle Robot Company's careers page and normalized into a canonical job model.