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Head of Physical Systems & Robotics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: DeepRec.ai
Full Time position
Listed on 2026-01-12
Job specializations:
  • Engineering
    Robotics, Systems Engineer, AI Engineer, Automation Engineering
Salary/Wage Range or Industry Benchmark: 400000 USD Yearly USD 400000.00 YEAR
Job Description & How to Apply Below

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

Base pay range

$/yr - $/yr

Direct message the job poster from Deep Rec.ai

Co-Founder , 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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