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Research Engineer Phd Jobs in Arizona (NOW HIRING)

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related ... with research teams to implement and validate deep learning models. - Solid experience with ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related ... with research teams to implement and validate deep learning models. - Solid experience with ...

Software Engineer

Tucson, AZ · On-site

$85K - $152K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

Sr. Software Engineer

Tucson, AZ · On-site

$113K - $150K/yr

Rincon Research Corporation (RRC) is focused on innovating and developing digital communication ... PhD) in Computer Engineering or Computer Science • Minimum 15 years' experience in software ...

Geolocation DSP Engineer

Tucson, AZ · On-site

$110K - $148K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Master's degree or PhD in a relevant technical area; a minor in Applied Mathematics is helpful

Advanced Software Engineer

Tucson, AZ · On-site

$127K - $228K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Minimum 8 years ...

Database/Web Engineer

Tucson, AZ · On-site

$85K - $113K/yr

At Rincon Research Corporation, our primary business is innovating, developing, and fielding ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

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Showing results 1-20

Research Engineer Phd information

See Arizona salary details

$34.5K

$98.8K

$132.8K

How much do research engineer phd jobs pay per year?

As of Aug 11, 2026, the average yearly pay for research engineer phd in Arizona is $98,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $96,900.00 per year, depending on experience, location, and employer.

What is the difference between Research Engineer Phd vs Research Scientist?

AspectResearch Engineer PhdResearch Scientist
Required CredentialsPhD in relevant field, advanced technical skillsMaster's or PhD, strong research background
Work EnvironmentLabs, R&D departments, technical project teamsAcademic, corporate R&D, government agencies
Employer & Industry UsageTech companies, engineering firms, research institutionsUniversities, research labs, industry R&D
Common Search & ComparisonOften compared for research roles requiring engineering expertiseBroader research roles, academic positions

Research Engineer Phd and Research Scientist roles both require advanced degrees and involve research activities. However, Research Engineer Phd positions typically focus on applied engineering projects within industry settings, emphasizing technical development and innovation. Research Scientists often work in academic or research institutions, focusing on fundamental research and scientific discovery. The choice depends on whether you prefer industry-focused engineering work or academic research pursuits.

What is a research engineer PhD?

A Research Engineer PhD is a professional who has completed a doctoral degree (PhD) and works on developing innovative solutions, conducting advanced experiments, and pushing the boundaries of technology or science. They often work in academic, industrial, or government research settings, applying deep technical expertise to solve complex problems. Their responsibilities typically include designing experiments, analyzing data, publishing findings, and sometimes collaborating with product development teams. Research Engineer PhDs are valued for their ability to combine scientific research with practical engineering applications.

What opportunities for interdisciplinary collaboration can a research engineer PhD expect in a typical organization?

As a Research Engineer with a PhD, you will frequently collaborate with professionals from various disciplines, such as data scientists, software developers, and product managers. This interdisciplinary work is essential for translating research into practical applications and advancing innovative projects. You can expect to contribute your expertise in scientific methods and advanced technical knowledge while gaining insights from colleagues in adjacent fields. Such collaboration not only enriches project outcomes but also broadens your professional skill set and fosters career growth.

What are the key skills and qualifications needed to thrive as a research engineer PhD?

To thrive as a Research Engineer PhD, you need advanced knowledge in engineering principles, research methodologies, and data analysis, typically supported by a doctoral degree in engineering or a related field. Expertise with simulation software, programming languages (such as Python or MATLAB), and familiarity with publishing tools or laboratory equipment is often required. Strong problem-solving abilities, creativity, and effective communication skills help distinguish top performers in this role. These skills and qualities are essential for driving innovation, producing publishable research, and effectively collaborating within multidisciplinary teams.
What are popular job titles related to Research Engineer Phd jobs in Arizona? For Research Engineer Phd jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Research Engineer Phd jobs? Cities in Arizona with the most Research Engineer Phd job openings:
Infographic showing various Research Engineer Phd job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $98,792 per year, or $47.5 per hour.

Research Engineer

Waabi

Phoenix, AZ • On-site, Remote

$122K - $215K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 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

As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.
 
You will...
- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.
- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.
- 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:
- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
- Experience working on applied research projects.
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Solid understanding of computing fundamentals, including code efficiency.
- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.
- Comfortable working with large datasets for machine learning applications.
 
Bonus/nice to have:
- Master/PhD in machine learning, computer science, engineering, or a related field.
- Experience in shipping machine learning features/models into production.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Previous experience in self-driving technology or related fields.
- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.
- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $122,000 - $215,000 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 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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