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Autonomy Engineer Jobs in Arizona (NOW HIRING)

Tech One IT

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Job Summary We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop, and deploy advanced AI-driven systems capable of autonomous reasoning, decision-making, and ...

Swarmbotics AI

Mechanical Engineer

Phoenix, AZ · On-site

We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack ... Position description Swarmbotics is looking for an experienced Mechanical Engineer to spearhead ...

Cintal

Systems Engineer 4

Tucson, AZ · On-site

$90K - $115K/yr

This is for an Autonomous TRUCK Integration and Validation Engineer DUTIES & RESPONSIBILITIES: * Creating and/or Updating test and development plans for autonomous haul truck testing * Executing ...

Komatsu

Principal Software Engineer

Tucson, AZ · On-site

$116.10K - $155.60K/yr

Principal Software Engineer Posting Start Date: 12/4/25 Job Location (Short): Tucson, Arizona, USA ... The autonomous trucks are centrally controlled through a wireless network that integrates on-board ...

Intel

AI Software Development Engineer

Phoenix, AZ · On-site

Build and scale production-grade data infrastructure for agentic AI systems that execute complex, multi-step work with autonomy, state, memory, and tool use. You will engineer resilient platforms for ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ

$128.60K - $176.60K/yr

As a Senior Agent AI Engineer , you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems (APIs, databases, external tools). You will ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128.60K - $176.60K/yr

As a Senior Agent AI Engineer , you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems (APIs, databases, external tools). You will ...

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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.

Systems Engineer - Test Platform Verification

Waabi

Phoenix, AZ

Full-time

Posted 14 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

At Waabi we develop a highly autonomous vehicle that integrates sensors, compute and actuators into a base vehicle. This is the platform which we use as the foundation for our Waabi Driver that uses novel generative AI algorithms to develop and scale an autonomous trucking solution very quickly. Ensuring that this platform is safe for supervised autonomy and driverless autonomy operations requires systems engineering practices like tracing product requirements to system requirements to tests and eventually test executions in order to build a very strong safety case. In this role you will work within the Platform Systems Engineering team and cross functionally with Hardware, Software and Operations at Waabi to define and realize verification methods by developing and executing tests.
 
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
- Define necessary improvements for our highly realistic simulator to effectively verify most autonomous platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented; this includes HIL/SIL verification methods
- Own the writing and tracking of tests and test executions in line with company project milestones
- Implement tools and methodologies to streamline and automate the Waabi platform verification processes where applicable
- 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
 
Expectations:
- In-vehicle testing, to be conducted with the assistance of a vehicle operator
- 100% in-office presence when testing is needed
 
Qualifications:
- Undergrad required; Masters or PhD within an engineering discipline preferred
- 3+ years of automotive, robotics, aerospace or related industry experience
- Experience with requirements-specifications and metrics
- Knowledge of the typical autonomous vehicle stack
- Systems engineering and verification and validation experience
- Experience with executing complex vehicle test campaigns
- Experience with functional safety, i.e. ISO 26262
- Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
- Excellent data analysis skills with modern tools such as Python or Matlab
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience with vehicle actuation (brakes, steering, propulsion)
- Bring an in-depth understanding of sensors, compute and actuators used in the self-driving vehicle scope
 
Bonus/nice to have:
- Having a good understanding of how trucks work and are operated will also be helpful to be successful in this role
- Experience in launching a driverless product
- Experience in the automotive self driving industry
- Experience building software systems from scratch
- Experience in robotics or machine learning
- 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. 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.