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Remote Manager Robotics Engineer Jobs in Santa Clara, 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 ... We believe that data-driven, safe inventory management will optimize the global physical economy ...

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 ...

Senior Systems Engineer

Fremont, CA · On-site +1

$114K - $156K/yr

About Agility Robotics Agility Robotics is at the forefront of developing humanoid robots designed ... Interface Management: Develop and maintain Interface Control Documents (ICDs). Anticipate and ...

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Showing results 1-20

Remote Manager Robotics Engineer information

See Santa Clara, CA salary details

$69.9K

$106.3K

$180.3K

How much do remote manager robotics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote manager robotics engineer in Santa Clara, CA is $106,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $123,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Manager Robotics Engineer vs Remote Robotics Technician?

AspectRemote Manager Robotics EngineerRemote Robotics Technician
Required CredentialsBachelor's or higher in Robotics, Engineering, or related field; often requires project management certificationsAssociate's or Bachelor's in Robotics, Electronics, or related field; technical certifications beneficial
Work EnvironmentOversees projects, manages teams remotely, collaborates with engineers and clientsPerforms technical maintenance, troubleshooting, and installation remotely or on-site as needed
Employer & Industry UsageUsed in robotics development companies, manufacturing, and tech firmsCommon in manufacturing plants, service industries, and technical support roles

The Remote Manager Robotics Engineer focuses on overseeing robotics projects and managing teams remotely, requiring leadership and project management skills. In contrast, the Remote Robotics Technician handles technical tasks like troubleshooting and maintenance, emphasizing hands-on skills. Both roles are vital in the robotics industry but differ in responsibilities and required credentials.

Can a remote manager robotics engineer work remotely?

A remote manager robotics engineer can work remotely if the employer allows it, as many companies in robotics and engineering support remote management roles. The position typically requires strong communication skills, experience with robotics systems, and familiarity with collaboration tools. However, some tasks involving hardware or on-site testing may require physical presence.

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For Remote Manager Robotics Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Manager Robotics Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Manager Robotics Engineer jobs?

Cities near Santa Clara, CA with the most Remote Manager Robotics Engineer job openings:

Infographic showing various Remote Manager Robotics Engineer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $106,300 per year, or $51.1 per hour.

Senior / Staff Robotics Engineer, Manipulation

RoboForce

Milpitas, CA • On-site, Remote

$160K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 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.