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Autonomy Engineer Jobs in Arizona (NOW HIRING)

DVA Consulting

Be Seen First

Systems Engineer

Green Valley, AZ · On-site

$45 - $51/hr

Good communication is expected for technical status updates, test plan reviews, and when working closely with other autonomy validation engineers, support teams and product support. Keeping up with ...

Axon

Priority Support Engineer I

Scottsdale, AZ · On-site

You'll have the autonomy to assess complex, high-impact cases, make real-time decisions to ... Engineers are trusted to make informed decisions in complex, ambiguous situations, prioritize high ...

Axon

Priority Support Engineer I

Scottsdale, AZ · On-site

You'll have the autonomy to assess complex, high-impact cases, make real-time decisions to ... Engineers are trusted to make informed decisions in complex, ambiguous situations, prioritize high ...

Tata Consultancy Service Limited

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... autonomous systems. • Ability to influence technical direction and align teams without formal ... engineer or early technical leader in AI-driven products. • Demonstrated success delivering ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99.80K - $131.40K/yr

Lead AI Engineer Location: Phoenix AZ/Sunrise FL its day 1 onsite Duration: Long term Skill Set: AI ... Evaluation, observability, and safety tooling for autonomous systems * Lead technical design ...

Gatik AI

Robotics Engineer

Phoenix, AZ

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply ... About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ...

Gatik AI

Robotics Engineer

Phoenix, AZ · On-site

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply ... About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ...

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Autonomy Engineer information

What does an Autonomy Engineer do?

An Autonomy Engineer develops and integrates algorithms, sensors, and software to enable autonomous systems such as self-driving cars, drones, or robotics. They work with machine learning, computer vision, control systems, and sensor fusion to enhance navigation, perception, and decision-making capabilities. Their role involves testing and optimizing autonomous behaviors in simulations and real-world environments to ensure safety and efficiency.

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

To thrive as an Autonomy Engineer, you need expertise in robotics, control systems, sensor integration, and software development—often supported by a degree in engineering, computer science, or a related field. Familiarity with programming languages like C++ or Python, simulation environments such as ROS (Robot Operating System), and potentially certifications in robotics or AI are highly valuable. Strong problem-solving abilities, collaborative teamwork, and effective communication skills distinguish top candidates in this field. These skills and qualities are essential for designing, implementing, and refining autonomous systems that operate reliably and safely in real-world environments.

What are the typical projects and daily responsibilities of an Autonomy Engineer?

Autonomy Engineers typically work on projects involving the development, testing, and optimization of autonomous systems such as vehicles, drones, or robots. Daily responsibilities may include designing algorithms for sensor fusion or navigation, writing and reviewing code, integrating hardware with software, and running simulations or field tests. Collaboration is frequent, as you'll coordinate closely with mechanical, electrical, and software engineers, as well as project managers. The work is hands-on and fast-paced, offering opportunities to see your contributions directly impact the performance and reliability of cutting-edge autonomous technology.
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Autonomy Engineer jobs near you
Infographic showing various Autonomy Engineer job openings in Arizona as of May 2026, with employment types broken down into 70% Full Time, 23% Part Time, and 7% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.
Autonomy Validation Engineer

Autonomy Validation Engineer

Caterpillar Inc.

Green Valley, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 457 frontline employees who took The Breakroom Quiz

216th of 415 rated machine equipment manufacturers

Job description

Job Summary:
Caterpillar Inc. is a global team dedicated to building stronger, sustainable communities through innovation and progress. The Autonomy Validation Engineer position focuses on developing, testing, and troubleshooting autonomy software systems for autonomous machines, ensuring high-quality performance through thorough test planning and collaboration with other engineers.
Responsibilities:
• The position's responsibilities include a strong quality focus on thorough test planning and execution. Thorough documentation and communication of issues is a must.
• Advanced data analysis and systems analysis efforts and skills are needed to help troubleshoot complex issues from test or customer sites, and to examine information from test sites to improve overall systems performance.
• Good communication is expected for technical status updates, test plan reviews, and when working closely with other autonomy validation engineers, support teams and product support.
• Keeping up with industry trends and new technology breakthroughs is essential and requires continuous learning through self/internet study, as well as interaction with other autonomous engineers through conferences and papers.
Qualifications:
Required:
• Knowledge of the organization's industry group, trends, directions, major issues, regulatory considerations, and trendsetters; ability to apply industry knowledge appropriately to diverse situations.
• Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
• Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
• Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation.
• The position's responsibilities include a strong quality focus on thorough test planning and execution.
• Thorough documentation and communication of issues is a must.
• Advanced data analysis and systems analysis efforts and skills are needed to help troubleshoot complex issues from test or customer sites, and to examine information from test sites to improve overall systems performance.
• Good communication is expected for technical status updates, test plan reviews, and when working closely with other autonomy validation engineers, support teams and product support.
• Keeping up with industry trends and new technology breakthroughs is essential and requires continuous learning through self/internet study, as well as interaction with other autonomous engineers through conferences and papers.
• This position requires the candidate to work full-time at Tucson Proving Grounds.
• This position will require up to 10% travel.
• This position requires working onsite five days a week.
Preferred:
• Experience with autonomous systems and on-machine validation.
• Experience with Vector tools (CANape and CANalyzer).
• Linux operating system experience.
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineers or related field.
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.

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