Pickle Robot Company

Physical AI Architect at Pickle Robot Company (Charlestown, MA)

Pickle Robot Company· Charlestown, MA· $183k–$202k·

Role details

Salary
$183k–$202k
Work type
Hybrid

Job description

About Us

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.

What You'll Do

  • 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 You'll Bring

  • Demonstrated track record of shipping AI-powered systems to production — we want to hear about systems you've deployed, not just prototyped
  • MS or PhD in Robotics, Computer Science, or a related field, or equivalent demonstrated expertise
  • Deep subject matter expertise in diffusion models applied to robot learning (e.g., diffusion policies, score-based generative models for behavior cloning or planning), plus strong command of optimal control theory and practice (MPC, trajectory optimization, feedback control) — and the architectural judgment to combine both effectively
  • 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 of deploying learned models on robot hardware
  • 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

Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. 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. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.   Pickle Perks  Pickle provides best-in-class benefits, including health, dental, and vision insurance; unlimited vacation; paid federal and state holidays; 401(k) contributions of 5% of your salary; company-covered travel expenses; and other perks to make your working life more fun, comfortable, and productive.

Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. 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. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.

Pickle Perks Pickle provides best-in-class benefits, including health, dental, and vision insurance; unlimited vacation; paid federal and state holidays; 401(k) contributions of 5% of your salary; company-covered travel expenses; and other perks to make your working life more fun, comfortable, and productive.

Why work at Pickle Robot Company

  • High-growth, VC-backed environment: Get in on the "ground floor of a fast growing, VC backed, warehouse automation company" with meaningful equity included in compensation packages. picklerobot.com jobs.lever.co
  • Hard technical problems: Engineers work on computer vision, mechanical engineering, reinforcement learning, generative AI, and real-time robotics systems — with the freedom to make decisions without "this is how it's always been done" constraints. picklerobot.com
  • Highly technical, collaborative culture: Team of ~113 with a heavily technical workforce (75 people in technical/engineering roles); ex-MIT culture described as "seriously motivated, collaborative, and fun." linkedin.com picklerobot.com
  • Mission-driven work: The company's stated goal is a working world where "machines do the heavy lifting and people do the problem solving" — directly improving the daily lives of warehouse workers. picklerobot.com
  • Location and perks: HQ in a "beautiful building in the heart of Charlestown, MA," with offices in Boston and Cambridge, plus an office in the UK; benefits include healthcare, 401k, snacks, cold brew, and competitive pay with equity. picklerobot.com linkedin.com
  • Active and diverse hiring: 16 open roles spanning Backend Software Engineering, Machine Learning, Perception, Electrical Engineering, Motion Planning Software, Product Management, and Robotic Operations Support. jobs.lever.co linkedin.com

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