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DeepRec.ai

Head of Physical Systems & Robotics

DeepRec.ai, San Francisco, California, United States, 94199

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This range is provided by DeepRec.ai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $250,000.00/yr - $400,000.00/yr

Direct message the job poster from DeepRec.ai

Co-Founder at DeepRec.ai, Recruiting Top GenAI, LLM, Computer Vision and Robotics Talent Head of Physical Systems & Robotics

Location:

Bay Area or SF

Salary:

upto $400k cash + Equity & Bonus

Reports to:

CEO

Role Overview As

Head of Physical Systems & Robotics , you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams.

Key Responsibilities

Technical Vision & Strategy:

Define and drive the roadmap for robotics, automation, and physical system platforms.

Team Leadership & Growth:

Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering.

System Architecture:

Establish robust hardware/software architectures for complex physical systems.

Integration & Collaboration:

Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution.

Operational Excellence:

Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms.

Hands-On Innovation:

Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation.

Risk & Safety:

Set standards for safety, testing protocols, fault tolerance, and regulatory compliance.

Qualifications

MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields.

10+ years of engineering leadership in building and scaling complex robotic or automated systems.

Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design.

Strong track record of cross-disciplinary collaboration with AI researchers and software engineers.

Excellent communicator and leader capable of motivating and aligning engineering teams.

Bonus Points

Experience with high-throughput or autonomous experimental platforms.

Prior work with digital twin or simulator environments tied to physical hardware.

Senior Level Director

Employment type Full-time

Job function Information Technology

Industries Technology, Information and Media

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