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Robotics Research Engineer Jobs in Arizona (NOW HIRING)

Embedded Software Engineer

Tucson, AZ

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... robotics R&D - including during our time under Raytheon - we've developed advanced AI and ML ...

Embedded Software Engineer

Tucson, AZ · On-site

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... robotics R&D -- including during our time under Raytheon -- we've developed advanced AI and ML ...

Embedded Software Engineer

Tucson, AZ · On-site

$124K - $164K/yr

Embedded Software Engineer Location: Tucson, AZ GuideTech , a subsidiary of Palladyne AI , builds ... robotics R&D - including during our time under Raytheon - we've developed advanced AI and ML ...

Minimum Qualifications: - PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. - 1+ ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ...

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ...

Completion of projects can involve manual or robotic nucleic acid extractions, sequencing library ... field service engineers, and instrument technical service specialists when needed. * Perform ...

Collaborating across R&D and engineering teams, you'll bring innovative concepts to life and drive ... Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics * Experience with modern ...

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Showing results 1-20

Robotics Research Engineer information

See Arizona salary details

$27K

$98.4K

$157.5K

How much do robotics research engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for robotics research engineer in Arizona is $98,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $118,300.00 per year, depending on experience, location, and employer.

What does a Robotics Research Engineer do?

A Robotics Research Engineer designs, develops, and tests robotic systems by integrating hardware and software for automation and intelligent behavior. They conduct research to improve robotic capabilities in areas such as perception, control, and machine learning. Their work involves programming, simulation, and experimentation to enhance robot performance for applications in industries like healthcare, manufacturing, and space exploration.

What are typical daily responsibilities for a Robotics Research Engineer?

Robotics Research Engineers typically spend their days designing algorithms, programming robotic systems, running simulations, and testing prototypes in both virtual and real-world environments. You’ll collaborate closely with cross-functional teams, such as mechanical and electrical engineers, to integrate software with hardware components. Reviewing research literature, documenting experimental results, and presenting findings are also common tasks. This dynamic combination of hands-on engineering and research ensures each day brings new technical challenges and opportunities for learning.

What are the key skills and qualifications needed to thrive in the Robotics Research Engineer position, and why are they important?

To thrive as a Robotics Research Engineer, you need strong knowledge in robotics, control systems, programming (such as C++ or Python), and a relevant degree in engineering or computer science. Experience with simulation tools (like ROS or Gazebo), machine learning frameworks, and sometimes certifications in robotics or AI are valuable assets. Excellent problem-solving abilities, teamwork, and effective technical communication make someone stand out in this position. These skills are essential for innovating, troubleshooting, and successfully collaborating on complex robotic projects.

Infographic showing various Robotics Research Engineer job openings in Arizona as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $98,412 per year, or $47.3 per hour.

Research Engineer, Learnable Planner (Integration)

Waabi

Phoenix, AZ • On-site, Remote

$159K - $296K/yr

Full-time

Posted 28 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor’s students will also be considered.
- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Open-minded and collaborative team player with willingness to help others.
- Solid understanding of computing fundamentals, including code efficiency.
- Experience in deep learning frameworks such as PyTorch.
- Proficiency in Python, Rust, C++ and/or CUDA.
 
Bonus/nice to have:
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Experience in iterating on a model including evaluation, introspection and fine-tuning.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.