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Phd Robotics Jobs in Arizona (NOW HIRING)

Waabi

Platform Verification Engineer - Track Testing

Phoenix, AZ · On-site

$135K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions ...

Chipton Ross

MP&P Engineer 3

Mesa, AZ · On-site

$77.60/hr

Experience with robotics, 3D modeling, 3D printing, Computed Tomography (CT), and/or Ultrasonic ... PhD, Master+3 years' related work experience). In the USA, ABET accreditation is the preferred ...

Banner Health

Uro Onc BUMCT POS 14492

Tucson, AZ · On-site

  • Medical

  • Retirement

  • PTO

As members of the University of Arizona Cancer Center , procedures include robotic or open surgical ... 2 research Phd's focused on urologic oncology, research coordinator and allied health members

Waabi

Senior / Staff ML Onboard Optimization Engineer

Phoenix, AZ · On-site +1

$141K - $249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study. - Solid coding proficiency in a ...

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Showing results 21-40

All JobsPhd Robotics JobsPhd Robotics Jobs in Arizona

Phd Robotics information

See Arizona salary details

$78.3K

$89.5K

$108.6K

How much do phd robotics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for phd robotics in Arizona is $89,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $95,100.00 per year, depending on experience, location, and employer.

What is the difference between Phd Robotics vs Robotics Engineer?

AspectPhd RoboticsRobotics Engineer
Required CredentialsPhD in Robotics, Computer Science, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentResearch labs, academia, advanced R&D projectsIndustry settings, manufacturing, product development
Employer & Industry UsageUniversities, research institutions, high-tech companiesTech companies, manufacturing firms, startups
Common Search & ComparisonAcademic research, specialized rolesPractical application, product design

While a Phd Robotics focuses on advanced research, theoretical development, and academic contributions, a Robotics Engineer applies practical skills to design, develop, and implement robotic systems in industry settings. Both roles require a background in robotics, but their career paths and work environments differ significantly.

Can I do a PhD in robotics?

A PhD in robotics is a research-focused doctoral degree that typically requires a master's degree in engineering, computer science, or a related field. It involves advanced coursework, original research, and skills in areas like programming, control systems, and machine learning, often taking 3-5 years to complete.

How much does a PhD in robotics make?

A PhD in robotics typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. Robotics researchers and engineers with a doctorate often work in advanced research, development, or academia, where higher salaries are common for specialized skills in automation, machine learning, and control systems.

What is the highest paid job in robotics?

The highest paid jobs in robotics are often senior roles such as robotics engineering managers, research directors, or chief robotics officers, typically earning six-figure salaries. These positions require advanced technical skills, leadership experience, and often a PhD in robotics or related fields, along with expertise in AI, machine learning, and automation systems.

What cities in Arizona are hiring for Phd Robotics jobs?

Cities in Arizona with the most Phd Robotics job openings:

Phd Robotics jobs near you
Infographic showing various Phd Robotics job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $89,461 per year, or $43 per hour.

Platform Verification Engineer - Track Testing

Waabi

Phoenix, AZ • On-site

$135K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 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

A strong focus will be on: 
- Creating verification plans based on requirements.
- Developing and documenting tests.
- Executing tests with support from other test engineers.
- Developing fault injection tools and techniques.

You will...
- Own the creation, documentation, alignment and verification of autonomous platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively.
- Act as a central point of contact at Waabi for specific platform-related verification methods and tests and communicate updates, progress and potential roadblocks to stakeholders at all levels.
- Own the creation and tracking of tests in line with company project milestones.
- Implement tools and methodologies to streamline and automate the Waabi platform verification processes.
- Work with external partners on delivering a safe autonomous platform that has been verified and validated to support a strong safety case for the complete self-driving system.
- Bring an in-depth understanding of sensors, compute and actuators used in self-driving systems.

Expectations:
- In-vehicle testing, to be conducted with the assistance of a vehicle operator
- 100% in-office presence when testing is needed

Qualifications:
- Bachelors in an engineering discipline (MS/PhD preferred) with 3+ years of experience in automotive, robotics, or a related industry.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Proven experience in systems engineering, verification and validation (V&V), and working with requirements and metrics.
- Knowledge of the typical autonomous vehicle stack.
- Experience executing complex vehicle test campaigns with a strong understanding of physics, vehicle dynamics and actuation (brakes, steering, propulsion).
- Experience with testing and data analysis tools such as those from Vector, Peak, ETAS, Foxglove.
- Track record of debugging complex systems.
- Excellent data analysis skills with modern tools such as Python or Matlab.

Bonus/nice to have:
- A good understanding of how trucks work and are operated.
- Experience developing and launching products in the autonomous vehicle or robotics industries.
- Experience building software systems from scratch.
- Proficiency with data mining, mathematics, and statistical analysis.

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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