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Remote Kinematics Jobs in California (NOW HIRING)

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Remote Kinematics information

What is remote kinematics?

Remote kinematics refers to the study and application of motion (kinematics) in mechanical systems or robots that are operated or monitored from a distance, typically through remote control or automation. This field is essential in industries where direct human interaction is limited or unsafe, such as space exploration, underwater robotics, and telemedicine. Professionals in remote kinematics design and control robotic arms, drones, or other mechanisms to perform precise movements from afar, often using sensors and real-time feedback. This work requires a strong understanding of physics, mathematics, and computer programming to ensure accuracy and safety in remote operations.

What are some of the unique challenges faced by remote kinematics engineers, and how can they overcome them?

Remote kinematics engineers often face the challenge of collaborating with multidisciplinary teams across different time zones and locations, which can complicate communication and project coordination. To overcome this, it's important to leverage digital collaboration tools, maintain clear documentation, and schedule regular virtual meetings. Additionally, troubleshooting and testing kinematic models or robotic systems remotely may require creative problem-solving and close coordination with onsite personnel. Building strong communication skills and proactively seeking feedback can help ensure project goals are met efficiently.

What is the difference between Remote Kinematics vs Remote Robotics Technician?

AspectRemote KinematicsRemote Robotics Technician
Required CredentialsEngineering degree, specialized in kinematics or roboticsTechnical diploma or associate degree in robotics or electronics
Work EnvironmentDesign, analysis, and simulation of robotic movement remotelyMaintenance, troubleshooting, and operation of robots remotely
Industry UsageManufacturing, automation, researchManufacturing, healthcare, logistics

Remote Kinematics focuses on the design and analysis of robotic movement and mechanisms, often involving simulation and modeling. In contrast, Remote Robotics Technicians handle the maintenance, troubleshooting, and operation of robots in various industries. While both roles require technical knowledge of robotics, Remote Kinematics emphasizes engineering and simulation, whereas Remote Robotics Technicians focus on hands-on support and system management.

What are the key skills and qualifications needed to thrive as a remote kinematics engineer, and why are they important?

To thrive as a Remote Kinematics Engineer, a strong background in mechanical engineering, robotics, and motion analysis is essential, often supported by a relevant degree. Proficiency with simulation software such as MATLAB, Simulink, or ROS, and experience with motion capture or kinematic modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These skills and qualities are important to ensure precise motion analysis, successful system integration, and reliable performance in remote or automated applications.
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Remote Kinematics jobs near you

Senior / Staff Robotics Engineer, Manipulation

RoboForce

Milpitas, CA • On-site, Remote

$160K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 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 / Staff 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.
Compensation: Salary $160,000-$265,000 USD + Bonus + Equity
 
The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases. 

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