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How much do robotics phd salary jobs pay per year?

As of Aug 26, 2026, the average yearly pay for robotics phd salary in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

How much does a robotics PhD earn?

A robotics PhD typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. Positions often require strong programming skills, knowledge of AI and machine learning, and proficiency with robotics tools and software.

Is a robotics PhD worth it?

A robotics PhD can lead to advanced research, academic positions, and specialized roles in industry, often offering higher salaries compared to those with only a master's or bachelor's degree. However, it requires significant time investment and expertise in areas like programming, control systems, and machine learning, which can enhance job prospects and earning potential.
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Robotics Phd Salary jobs near you
Infographic showing various Robotics Phd Salary job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Robotics Engineer - Navigation focus

Redmond, WA • On-site

General Robotics
See more jobs at General Roboticsexternal

$155K - $205K/yr

Full-time

Medical, Retirement

Re-posted 2 days ago

Job description

Robotics Engineer: Navigation focus
General Robotics is an AI research and deployment company building general robot intelligence, and we are seeking a Robotics Engineer to join our team. We conduct focused research and engineering to develop and deploy robust and performant robotic systems - we work on a variety of form factors such as aerial, wheeled, humanoid, quadruped, arms and others.
We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in SLAM, robot navigation and geometric foundation models (e.g. VGGT, MapAnything, etc).
Responsibilities
  • Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
  • Define research goals informed by practical engineering concerns.
  • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
  • Work with high fidelity simulation platforms for synthetic data generation.
  • Design data loading and training pipelines for large scale foundation model training.
  • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
  • Contribute to publications and open-sourcing efforts.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research experience in machine learning, robotics, and computer vision.
  • Experience with developing robotics algorithms or machine learning models at scale.
  • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Desired Qualifications
  • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Direct experience in robotics, computer vision, or machine learning research.
  • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).
  • Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others.
  • Experience building efficient robotics pipelines involving sensor fusion and model inference
  • Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
  • Good understanding of systems considerations and the ability to factor these into model choices.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company

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