Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility Robotics is seeking a Staff Robotics Architect - Electrical Hardware to drive the electrical architecture of our humanoid robotics platforms, reporting directly to the Principle Hardware Architect who acts as the Architecture Lead for existing and new products. In this technical leadership role, you will serve as the lead for electrical hardware architecture, partnering closely with engineers across systems, mechanical, electrical, software, perception, safety, and control teams as needed to define and evolve the architecture of our robotic systems.
You will be responsible for ensuring the integration of core electrical subsystems — ranging from sensing and compute to control, actuation, and safety—into cohesive, performant, reliable, and scalable systems for our humanoid robots. This role is ideal for a senior electrical or mechatronics engineer with a proven track record in robotic system design, control, and architecture, experience in actuated mobile robotics, ideally including humanoid or legged robotics, and strong data driven decision making.
About the Work- Own the end-to-end robotics electrical system architecture, ensuring scalable, and reliable integration of perception, compute, actuation, control, and safety systems.
- Provide technical direction to other architects as well as across other teams, guiding the design of high-performance robotic subsystems.
- Lead trade studies and architecture reviews balancing performance, functional safety, complexity, manufacturability, cost, and reliability.
- Partner with cross functional teams including software controls and simulation teams to ensure architectural decisions are grounded in system-level modeling, simulation, and performance analysis.
- Collaborate closely with systems engineering, test, and integration teams to ensure architecture translates into testable, traceable requirements.
- Influence long-term roadmap and product direction by translating user needs, field performance, and R&D findings into architectural evolution.
- 8+ years of experience in robotics hardware development, including at least 3 years leading electrical product development or as a lead engineer.
- 5+ years experience with electrical system design including Actuator Dev, power systems design, PCBA design, component selection, and layout.
- 3+ years experience with Firmware Development between bare-metal to network integration.
- Deep understanding of robotic system design and actuator and transmission design, including tradeoffs in mass, structures, fatigue, thermals, actuation, sensing, power, compute, and safety.
- Proven experience in designing and delivering complex electromechanical robotic systems into field or commercial deployment from the ideation phase through production.
- Strong foundation in Electrical Engineering, robot kinematics, dynamics, controls, and system modeling.
- Familiarity with functional safety concepts, Product FuSa Certifications, FMEA/FMECA, and hazard analysis in robotic systems.
- Strong communication and collaboration skills, with experience influencing decisions across multidisciplinary teams.
- Prior experience architecting full-stack robotics systems in a humanoid, legged mobility, mobile manipulation, or high-DOF automation platform.
- Hands-on experience with perception pipelines, real-time control systems, and safety-rated architectures.
- Experience with Altium, ERP systems (windchill or similar), Github
- Experience with simulation tools such as MuJoCo, Gazebo, or equivalent, and integrating simulation into system design and validation workflows.
- Familiarity with AI and reinforcement learning techniques applied to robotics learning and control.
- PhD or Master’s degree in Robotics, Mechatronics, Electrical Engineering, or a related field.
- Experience mentoring and growing engineers, and fostering healthy team culture.
At Agility Robotics, we are building the future of human-centric automation through groundbreaking humanoid robots. As a foundational technical leader, you’ll help shape a product and platform that redefines the role of robots in the workforce—developed by a world-class team committed to innovation, engineering excellence, and real-world impact.
Location
- This is a hybrid position based out of our Fremont, CA office, with occasional travel to our other offices in Salem, OR, and Pittsburgh, PA required to support development activities
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
