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Remote Fanuc Robot Programming Jobs in Pleasanton, CA

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

Field Robotics Technician

Oakland, CA · On-site +1

$35 - $45/hr

Field Robotics Technician Oakland, CA Preferred - Remote Ok Full-time - 80% Travel Energy is the ... Engineering team, deploying to project sites to keep Planted's robot fleet running. You'll perform ...

Sr. Systems Engineer

Mountain View, CA · On-site +1

$190K - $300K/yr

As a Sr. Systems Engineer at Reliable Robotics, you will be a part of the System Development team ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

Establish secure and auditable remote access solutions for engineers troubleshooting robots in the field * Define and enforce the trust model across Platform APIs, covering authentication ...

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Remote Fanuc Robot Programming information

See Pleasanton, CA salary details

$18

$41

$59

How much do remote fanuc robot programming jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote fanuc robot programming in Pleasanton, CA is $41.04, according to ZipRecruiter salary data. Most workers in this role earn between $33.99 and $48.17 per hour, depending on experience, location, and employer.

What is remote Fanuc robot programming?

Remote Fanuc Robot Programming involves creating, modifying, and troubleshooting programs for Fanuc industrial robots from a remote location, rather than on-site. This process typically utilizes specialized software to connect to the robot's controller over a network, enabling programmers to update code, monitor robot operation, and provide technical support without being physically present. Remote programming can increase efficiency, reduce downtime, and allow experts to assist with complex automation tasks from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote Fanuc robot programmer?

To thrive as a Remote Fanuc Robot Programmer, you need a solid background in robotics, automation engineering, and experience with Fanuc robot controllers, often supported by a relevant technical degree or certification in robotics or industrial automation. Proficiency with Fanuc software (such as Roboguide), PLC integration, and remote troubleshooting tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills, especially when collaborating with on-site teams from a distance. These skills ensure the efficient setup, maintenance, and optimization of robotic systems, minimizing downtime and supporting seamless remote operations.

What are some common challenges faced when programming Fanuc robots remotely, and how can they be managed?

Remote Fanuc Robot Programming often presents challenges such as limited on-site troubleshooting, network connectivity issues, and communication delays with on-site teams. To manage these, it's important to establish clear protocols for remote access, maintain thorough documentation, and use reliable remote support tools. Close collaboration with on-site operators is essential for testing and implementing changes, and proactive planning can help minimize downtime. Regular virtual meetings and clear communication channels can also ensure that remote programmers stay aligned with the team's goals and safety standards.

What is the difference between Remote Fanuc Robot Programming vs Remote ABB Robot Programming?

AspectRemote Fanuc Robot ProgrammingRemote ABB Robot Programming
CredentialsTypically requires Fanuc certification or equivalentRequires ABB certification or equivalent
Work EnvironmentPrimarily manufacturing and automation facilities using Fanuc robotsSimilar manufacturing settings with ABB robots
Industry UsageWidely used in automotive, electronics, and industrial automationCommon in automotive, packaging, and industrial sectors

Remote Fanuc Robot Programming and Remote ABB Robot Programming share similar skills, certifications, and work environments, focusing on automation in manufacturing. The main difference lies in the robot brands and specific programming software used. Both roles require technical expertise in robot operation, troubleshooting, and programming, but professionals typically specialize in one brand based on employer needs.

How much do remote Fanuc robot programmers make?

Remote Fanuc robot programmers typically earn between $60,000 and $100,000 annually, depending on experience, certifications, and the complexity of the automation systems they work with. Skilled programmers with advanced knowledge of robot programming languages and troubleshooting can earn higher salaries, especially in industries with high automation demands.

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For Remote Fanuc Robot Programming jobs in Pleasanton, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Fanuc Robot Programming jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Remote Fanuc Robot Programming jobs?

Cities near Pleasanton, CA with the most Remote Fanuc Robot Programming job openings:

Infographic showing various Remote Fanuc Robot Programming job openings in Pleasanton, CA as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,373 per year, or $41 per hour.

Senior / Staff Robotics Engineer, Manipulation

RoboForce

Milpitas, CA • On-site, Remote

$160K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Key responsibilities

  • Own the arm autonomy stack and develop algorithms for reaching, grasping, and manipulating objects safely and intelligently.

  • Architect advanced motion planning algorithms for high-DOF arm motion, including real-time constrained trajectory generation and whole-body control.

  • Develop low-level control strategies such as impedance/admittance controllers to enable safe physical interaction with the environment.


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.