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Staff Robotics Architect - Embedded Systems

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Staff Robotics Architect - Embedded Systems in USA new

  • Agility Robotics
  • Full time
  • Email
  • Fremont, CA

Responsibilities

  • Own the end-to-end robot network and controls system architecture across perception, compute, control, and safety systems.
  • Provide technical direction to architects and multidisciplinary engineering teams designing high-performance robotic subsystems.
  • Lead trade studies and architecture reviews that balance performance, functional safety, complexity, manufacturability, cost, and reliability.
  • Partner with controls and simulation teams to ground architecture decisions in system modeling, simulation, and performance analysis.
  • Collaborate with software, systems engineering, test, and integration teams to create testable and traceable requirements.
  • Influence product roadmaps and architectural evolution using user needs, field performance, and R&D findings.

Requirements

  • 8+ years of robotics platform software development as a senior or lead engineer.
  • 5+ years of controls system development as a senior or lead engineer.
  • 3+ years of network and compute system development as a senior or lead engineer.
  • 3+ years of firmware development spanning bare-metal systems through network integration.
  • Deep understanding of robotic system design tradeoffs involving cost, power, heat, sensing, compute, and safety.
  • Proven experience designing and delivering complex electromechanical robotic systems from ideation through production and field or commercial deployment.
  • Strong foundations in software 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, including influencing decisions across multidisciplinary teams.
  • Preferred experience with humanoid, legged mobility, mobile manipulation, or high-DOF automation platforms.
  • Preferred hands-on experience with perception pipelines, real-time control systems, and safety-rated architectures.
  • Preferred experience with GitHub and similar collaborative development tools.
  • Preferred experience with MuJoCo, Gazebo, or equivalent simulation tools and simulation-based validation workflows.
  • Preferred familiarity with AI and reinforcement learning applied to robotics learning and control.
  • A PhD or master’s degree in robotics, mechatronics, computer science, or a related field is preferred.
  • Preferred experience mentoring and growing engineers and fostering a healthy team culture.

Benefits

  • Hybrid position based in the Fremont, California office, with occasional required travel to Salem, Oregon, and Pittsburgh, Pennsylvania.
  • 401(k) plan with a 6% company match.
  • Company stock options.
  • Company-paid medical, dental, vision, and short- and long-term disability insurance for employees.
  • Benefits eligibility begins on the first day of employment.
  • Employee Assistance Program.
  • Flexible or unlimited PTO for exempt employees, or vacation and paid sick leave for non-exempt employees, plus 12 company holidays and a winter shutdown.
  • Catered lunches four times per week and snacks and refreshments at Salem and Pittsburgh locations.
  • Paid parental leave programs.
  • Flexible work arrangements and professional development and tuition reimbursement programs.
  • Relocation assistance for eligible roles.
  • Annual discretionary bonus for eligible roles.

Salary: $217k - $281k/yr

Agility Robotics

Industrial humanoids hard at work.

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