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How much do robotics phd positions jobs pay per year?

As of Jun 11, 2026, the average yearly pay for robotics phd positions 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 PhD in robotics earn?

A PhD in robotics typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. Robotics PhD holders often work in research, development, or academia, with higher salaries available in private sector roles involving advanced skills in programming, machine learning, and automation.

What are the key skills and qualifications needed to thrive as a Robotics PhD candidate, and why are they important?

To thrive as a Robotics PhD candidate, you need a strong background in robotics, computer science, engineering, mathematics, and a relevant undergraduate or master's degree. Familiarity with programming languages (like Python, C++), robotics simulation tools (such as ROS, Gazebo), and experience with research methodologies are typically important. Critical thinking, creativity, and effective communication are essential soft skills for contributing novel ideas and collaborating within research teams. These skills and qualifications are crucial for successfully conducting advanced research, publishing results, and advancing the field of robotics.

What is the highest paying job in robotics?

The highest paying jobs in robotics are often executive roles such as Robotics Engineering Directors or Chief Robotics Officers, which can earn six-figure salaries. Senior roles requiring advanced expertise in AI, machine learning, and automation, along with leadership skills, tend to offer the highest compensation in the field.

What are the common research areas and collaboration opportunities for students in Robotics PhD positions?

Robotics PhD students typically focus on advanced topics such as machine learning for robotics, human-robot interaction, autonomous systems, and robotic perception. These positions often involve interdisciplinary collaboration, working closely with faculty, industry partners, and peers from fields such as computer science, electrical engineering, and mechanical engineering. Students regularly participate in lab meetings, joint research projects, and may have opportunities to contribute to conference publications or internships. This collaborative environment not only enhances learning but also opens pathways for future academic and industry careers in robotics.

Is a PhD in robotics worth it?

A PhD in robotics can enhance expertise in areas like control systems, machine learning, and perception, leading to advanced research, development, and academic opportunities. However, it requires significant time and effort, and job prospects often depend on industry demand, experience, and skills such as programming and hardware integration.

Is robotics a dead field?

Robotics PhD positions are still highly relevant as robotics continues to advance in areas like automation, healthcare, and manufacturing. The field requires skills in programming, control systems, and machine learning, and offers ongoing research and development opportunities. Robotics remains a dynamic and growing area within engineering and computer science.

What is the difference between Robotics Phd Positions vs Robotics Engineer?

AspectRobotics Phd PositionsRobotics Engineer
Required CredentialsPhD in Robotics, Engineering, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical, or Computer Engineering
Work EnvironmentResearch labs, universities, academic settingsIndustry, manufacturing, technology companies, startups
Employer & Industry UsageAcademic institutions, research organizationsPrivate companies, tech firms, industrial sectors
Common Search & Comparison IntentAcademic research, advanced study, research positionsPractical application, product development, engineering roles

Robotics Phd Positions focus on advanced research, theoretical development, and academic pursuits, often requiring a doctoral degree. Robotics Engineers typically work on designing, developing, and implementing robotic systems in industry, often with a bachelor's or master's degree. Both roles involve robotics but differ in their focus, environment, and qualifications.

What are Robotics PhD positions?

Robotics PhD positions are research-focused academic roles for students pursuing a doctoral degree in robotics. These positions typically involve conducting original research in areas such as artificial intelligence, mechanical engineering, computer vision, or control systems related to robotics. Students often work under the supervision of a faculty advisor, contribute to academic publications, and may also assist in teaching or mentoring. Admission to these positions usually requires a strong academic background in engineering, computer science, or related fields, as well as a demonstrated interest in robotics research.
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What cities are hiring for Robotics Phd Positions jobs? Cities with the most Robotics Phd Positions job openings:
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Robotics Phd Positions jobs near you
Infographic showing various Robotics Phd Positions job openings in the United States as of June 2026, with employment types broken down into 9% As Needed, 45% Full Time, and 46% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Robotics Engineer - Navigation focus

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Posted 16 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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