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How much do graduate robotics engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for graduate robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a graduate robotics engineer?

A Graduate Robotics Engineer is an entry-level role for recent graduates specializing in robotics, automation, or related fields. They assist in designing, developing, and testing robotic systems for various applications, including manufacturing, healthcare, and autonomous systems. Responsibilities typically include programming, circuit design, simulation, and hardware integration. They work closely with senior engineers to improve robotic performance and implement innovative technologies. This role provides hands-on experience and professional development for a career in robotics engineering.

What kinds of projects and technologies do graduate robotics engineers typically work on?

Graduate Robotics Engineers are often involved in designing, building, and testing robotic systems, which may include tasks like programming motion controls, integrating sensors, and troubleshooting hardware or software issues. Projects can range from developing autonomous vehicles and industrial automation systems to experimenting with AI-driven robotics in research environments. The technologies used may include robotic arms, mobile robots, embedded microcontrollers, and advanced simulation tools. Team members usually collaborate closely with mechanical, electrical, and software engineers, offering opportunities to learn from diverse specialties. This hands-on experience with modern robotics technologies provides a strong foundation for professional growth within the industry.

What are the key skills and qualifications needed to thrive as a graduate robotics engineer?

To thrive as a Graduate Robotics Engineer, you need a solid understanding of robotics principles, programming (such as Python or C++), and engineering fundamentals, typically backed by a relevant engineering degree. Familiarity with industry tools like ROS (Robot Operating System), CAD software, and experience with embedded systems or hardware prototyping is highly valuable. Strong problem-solving abilities, a collaborative mindset, and effective communication skills make candidates stand out in multidisciplinary teams. These skills are crucial for efficiently developing, testing, and deploying robotic solutions in dynamic and innovative workplace settings.

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Graduate Robotics Engineer jobs near you
Infographic showing various Graduate Robotics Engineer job openings in the United States as of August 2026, with employment types broken down into 4% As Needed, 71% Full Time, 22% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Robotics Engineering Intern - Fall 2026

Niantic Spatial, Inc

San Francisco, CA • On-site

$19.75 - $25.50/hr

Full-time, Internship

Posted 15 days ago

Job description

About Niantic Spatial
At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment.
Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets - building for the 80% of economic activity that takes place beyond our screens.
About the Role
As a Robotics Engineering Intern or Co-op at Niantic Spatial, you will work directly at the intersection of learning-based systems and physical hardware. You will work hands-on with physical hardware, push robots toward fully autonomous operation across locomotion, navigation, and control, and iterate rapidly based on real-world feedback.
What You'll Work On
  • Robot Learning Systems - Design, implement, and deploy learning-based systems on physical robotic hardware, working across locomotion, navigation, and control to push robots toward full autonomy.
  • Sim-to-Real Deployment - Work across simulation environments (Isaac Sim, MuJoCo) and physical platforms, closing the sim-to-real gap and validating system behavior under real-world conditions.
  • Hardware Iteration - Debug hardware, perform sensor calibration, and fix edge cases under real deployment conditions
  • Approach Evaluation - Evaluate and weigh tradeoffs between classical robotics and learning-based methods, choosing the right tool for each problem and contributing to technical decision-making on the team.

What You'll Bring
  • Currently enrolled in (or a recent graduate of) a BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Strong proficiency in Python and modern deep learning frameworks (PyTorch or JAX).
  • Hands-on experience with simulation environments (Isaac Sim, MuJoCo) and physical robotic hardware.
  • Ability to work on-site full-time in San Francisco, CA for the duration of the program. Relocation or housing stipends are not included in this fall program.

Preferred Skills
  • Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback.
  • Comfortable working with hardware - sensor calibration, hardware debugging, and fixing edge cases under tight deadlines.
  • Ability to weigh trade-offs between classical robotics and learning-based approaches
  • High intellectual curiosity and a focus on pushing systems beyond existing baselines.
  • Passionate about robotics and love what you do because you will be doing a lot of it.

Program Details
• Term - 12 to 16 weeks, full-time commitment.
• Location - 100% on-site in San Francisco, CA.
• Role Type - Open to undergraduate, masters, and PhD students, as well as co-op program participants.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

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