DeepRec.ai
Head of Physical Systems & Robotics (San Francisco Bay Area)
DeepRec.ai, San Francisco, California, United States, 94110
Head of Physical Systems & Robotics
Location:
Bay Area or SF Salary:
upto $400k cash + Equity & Bonus Reports to:
CEO Team:
Robotics & Systems Engineering
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.
Bay Area or SF Salary:
upto $400k cash + Equity & Bonus Reports to:
CEO Team:
Robotics & Systems Engineering
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.