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Remote Contract Robotics Engineer Jobs in California

RoboForce

Senior Robotics Engineer, Manipulation

Milpitas, CA · On-site +1

$121K - $167K/yr

You will build the mathematical engine behind our remote manipulation capabilities. You are ... Ph.D. in Robotics, Mechanical Engineering, Computer Science, or related field, OR an M.S. degree ...

Air Aviation LLC

Manufacturing Engineer

San Jose, CA · Remote

$85K - $110K/yr

Air Aviation is seeking a Manufacturing Engineer to support client projects on a part-time remote contract basis. The Manufacturing Engineer will be responsible for applying engineering principles to ...

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Remote Contract Robotics Engineer information

What is the difference between Remote Contract Robotics Engineer vs Remote Contract Automation Engineer?

AspectRemote Contract Robotics EngineerRemote Contract Automation Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; relevant certificationsBachelor's in Automation, Electrical, or Computer Engineering; certifications in automation systems
Work EnvironmentDesigning, testing, and programming robotic systems remotelyDeveloping and implementing automation solutions remotely
Employer & Industry UsageManufacturing, robotics companies, research labsIndustrial facilities, manufacturing, process industries

Remote Contract Robotics Engineers focus on designing and programming robotic systems, while Remote Contract Automation Engineers specialize in automating processes. Both roles require technical expertise and often work remotely for similar industries, but their core responsibilities differ in scope and application.

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Infographic showing various Remote Contract Robotics Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Robotics Engineer, Manipulation

RoboForce

Milpitas, CA • On-site, Remote

$121K - $167K/yr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are seeking Senior Robotics Engineer, Manipulation to own the arm autonomy stack. You will architect the algorithms that allow our robot to reach, grasp, and manipulate objects safely and intelligently. You will bridge the gap between high-level planning and low-level control, ensuring our robot can interact with the world with both precision and compliance.

Responsibilities 

  • Advanced Motion Planning & Trajectory Generation: You will architect the algorithms that drive high-DOF arm motion in dynamic environments. This involves implementing constrained motion planners that generate smooth, jerk-limited trajectories in real-time. You will also solve the "Whole Body" control problem, coordinating the mobile base and the manipulator arm simultaneously to extend the robot's workspace and maintain stability during heavy lifting tasks.
  • Interaction Control & Compliance: You will develop the low-level control strategies that enable the robot to physically interact with the world safely. This includes designing and tuning impedance/admittance controllers that allow the robot to modulate stiffness based on force feedback-essential for tasks like opening heavy doors or plugging in connectors.
  • Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote manipulation capabilities. You are responsible for the logic that translates human operator inputs into feasible, safe robot motions. You will design the control mapping and assistance layers that ensure remote manipulation feels intuitive and stable, managing the complex translation between human intent and the robot's physical constraints without compromising safety.

Requirements 

  • Experience: Ph.D. in Robotics, Mechanical Engineering, Computer Science, or related field, OR an M.S. degree with 4+ years of relevant industry experience.
  • Applied Mathematics: Deep understanding of rigid body kinematics, dynamics, and 3D geometry. You are fluent in linear algebra and Lie theory for representing robot state.
  • Modern C++ Expertise: You write production-grade, real-time C++. You are comfortable with modern standards (C++17/20) and libraries like Eigen, KDL, or Pinocchio.
  • Planning Frameworks: Experience with motion planning libraries (e.g., OMPL, MoveIt, TrajOpt, or similar).
  • Control Theory: Practical experience implementing PID, Impedance Control, or Model Predictive Control (MPC) on real hardware.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications 

  • Physics Simulation: Experience tuning physics parameters in simulators like Isaac Sim, MuJoCo, or Gazebo to match real-world dynamics.
  • Optimization: Familiarity with solvers like OSQP, Ipopt, or Ceres for trajectory optimization.
  • ML for Control: Interest or experience in Reinforcement Learning (RL) or Learning from Demonstration (LfD) for manipulation tasks.
  • Real Actuators: Experience working with industrial communication buses (EtherCAT/CAN) and motor drives.

Benefits

  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Apply