Head Physical Systems & Robotics
Summary
Lead Physical Systems & Robotics at DeepRec.ai with $400,000 annual salary. Advanced role requiring postgraduate degree and 10+ years experience. Competitive equity and bonus benefits included.
Description
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.
