Job Description
This client is developing solutions for high-throughput logistics using advanced AI, robotics, and real-time hardware integration. They are looking to hire a Physical AI Architect that can go onsite 4 days per week in Boston. In this position, you'll have the opportunity to shape the next generation of physical AI platforms. This role is a blend of technical depth and hands-on building. This is a full time position.\n
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Required Skills & Experience\n
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- Advanced degree in Robotics, Computer Science, or similar, or equivalent industry accomplishment
- Demonstrated experience bringing AI-enabled hardware solutions into production environments.
- Deep knowledge of diffusion-based models for robotics and optimal control concepts
- Hands-on expertise with diffusion policy learning, score-based generative modeling, MPC, trajectory optimization, and robust feedback control
- Experience integrating sensors (RGB-D cameras, force/torque sensors, encoders), embedded computing (NVIDIA, Jetson, ARM SoCs, FPGAs), and robot actuators
- Proficiency with Python and C++
- Familiarity with modern robotics middleware (ROS 2 or similar)
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What You Will Be Doing\n
\n Tech Breakdown \n
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- 40% Diffusion-based learning and model deployment
- 30% Optimal control, trajectory optimization, and motion planning
- 30% Hardware-software integration
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Daily Responsibilities \n
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- 80% Hands On
- 10% Management Duties
- 10% Team Collaboration
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The Offer\n
\n You will receive the following benefits: \n
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- Medical, Dental, and Vision Insurance
- Paid Time Off
- 401k
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\n Applicants must be currently authorized to work in the US on a full-time basis now and in the future.