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Remote Kuka Robot Programmer Jobs (NOW HIRING)

RoboForce

Senior Robotics Engineer, Manipulation

Milpitas, CA · On-site +1

$121K - $167K/yr

The company's robots are engineered for demanding industrial environments, with a focus on real ... Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote ...

Vecna Robotics

Robotics Deployment Engineer

$75K - $80K/yr

The Robotics Deployment Engineer is a remote role, but the employee must be based in Boston, MA, Louisville, KY, Detroit, MI, Chicago, IL, Indianapolis, IN, or Cincinnati, OH. Reporting to the ...

Oklo

Mechatronics Engineer

Santa Clara, CA · On-site +1

We are searching for a Mechatronics Engineer to join our nuclear fuel recycling engineering team ... Designing robotic and electromechanical systems for remote handling of materials in high ...

Oklo

Mechatronics Engineer

Santa Clara, CA · On-site +1

We are searching for a Mechatronics Engineer to join our nuclear fuel recycling engineering team ... Designing robotic and electromechanical systems for remote handling of materials in high ...

Cyngn

Senior C++ Robotics Engineer

Mountain View, CA · Remote

$125K - $165K/yr

As a Robotics and System Integration Engineer at Cyngn, you will play a vital role in developing ... Monthly meal and tech allowances for remote employees *Please note salary range is for Bay Area ...

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How much do remote kuka robot programmer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote kuka robot programmer in the United States is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $43.27 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote Kuka Robot Programmers, and how can they be addressed?

Remote Kuka Robot Programmers often encounter challenges related to troubleshooting and debugging robotic systems without being physically present on-site. This can make it harder to diagnose hardware issues or test real-time responses. To address these challenges, effective communication with on-site teams is crucial, as is the use of remote access tools, simulation software, and detailed documentation. Building strong collaborative relationships and maintaining clear channels for reporting and feedback help ensure seamless programming, testing, and deployment.

What is the difference between Remote Kuka Robot Programmer vs Remote Fanuc Robot Programmer?

AspectRemote Kuka Robot ProgrammerRemote Fanuc Robot Programmer
Required CertificationsRobotics programming certifications, KUKA robot trainingRobotics programming certifications, Fanuc robot training
Work EnvironmentManufacturing plants, automation facilities, remote troubleshootingManufacturing plants, automation facilities, remote troubleshooting
Industry UsageAutomotive, electronics, aerospaceAutomotive, electronics, aerospace
Common Search IntentComparing KUKA vs Fanuc robot programming rolesComparing Fanuc vs KUKA robot programming roles

The main difference between a Remote Kuka Robot Programmer and a Remote Fanuc Robot Programmer lies in the specific robot systems they work with. Both roles require similar certifications, work environments, and industry applications, but they specialize in different robot brands. Candidates should choose based on the robot systems their employer uses or their certification focus.

What are the key skills and qualifications needed to thrive as a Remote Kuka Robot Programmer, and why are they important?

To thrive as a Remote Kuka Robot Programmer, you need strong expertise in robotics programming, industrial automation, and a solid understanding of Kuka robot controllers, usually supported by engineering or technical degrees. Familiarity with KUKA.WorkVisual, KRL (KUKA Robot Language), and experience with PLC integration are commonly required, along with relevant certifications in robotics or automation. Excellent problem-solving, communication, and self-management skills are crucial for effective troubleshooting and collaboration from a remote setting. These competencies ensure efficient robot operation, minimal downtime, and successful project delivery in diverse industrial environments.

What does a Remote Kuka Robot Programmer do?

A Remote Kuka Robot Programmer is responsible for designing, writing, and troubleshooting software that operates Kuka industrial robots, often from a remote location. They create and optimize robot programs to automate manufacturing processes, ensure safety standards, and improve efficiency. These programmers also support the integration of robots with other systems, diagnose technical issues, and may provide remote assistance or training to on-site staff. Their work is crucial in industries such as automotive, electronics, and logistics where automation is key.
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Remote Kuka Robot Programmer jobs near you
Infographic showing various Remote Kuka Robot Programmer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 61% Physical, 37% Hybrid, and 2% Remote job distribution, with an average salary of $76,712 per year, or $36.9 per hour.

Senior Robotics Engineer, Manipulation

RoboForce

Milpitas, CA • On-site, Remote

$121K - $167K/yr

Other

Medical, Dental, Vision, Retirement

Posted 2 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