Agility Robotics
Staff Robotics Architect - Dynamic Simulation Specialist
Hybrid- Fremont, CA · Staff+ · Full-time
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About the role
- Influence long-term roadmap and product direction by translating user needs, field performance, and R&D findings into architectural evolution.
- Proven experience in supporting the delivery of complex robotic systems into field or commercial deployment from the ideation phase through production.
- Strong foundations in Software Engineering, robot kinematics, dynamics, controls, and system modeling.
Responsibilities
- This role is reporting directly to the Principle Hardware Architect to develop new products and major improvements to existing platforms.
- Own the end-to-end robot Dynamic Simulation analysis for early robot architecture, ensuring scalable, and reliable data to inform and validate technical direction in the new product architecture and product definition efforts.
- Provide technical direction to other architects as well as across other teams, guiding the design of high-performance robotic subsystems.
- 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 software, systems engineering, test, and integration teams to ensure simulation translates into testable, traceable requirements.
- Deep understanding of robotic system design and Component Simulation and Digital Twin with OS in loop.
- 3+ years robot system/architecture development as a senior lead engineer
Requirements
- Applicants must have current authorization to work in the United States.
- 8+ years of experience in dynamic simulation of platforms to drive product development as a senior or lead engineer
- 5+ years experience with simulation system, process, and tools development as a senior lead engineer
- Experience with simulation tools such as MuJoCo, Gazebo, or equivalent, and integrating simulation into system design and validation workflows.
- Hands-on experience with perception pipelines, real-time control systems, and safety-rated architectures.
- Experience with Github and similar collaborative development tools.
- PhD or Master's degree in Robotics, Mechatronics, Computer Science, or a related field.
Skills
- Strong communication and collaboration skills, with experience influencing decisions across multidisciplinary teams.
Compensation
- 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.
Benefits
- Parental Leave: Generous paid parental leave programs.
- Experience with AI and reinforcement learning techniques applied to robotics learning and control.
Visa & Work Authorization
- asis 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
This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.