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Autonomy Engineer Jobs in Arizona (NOW HIRING)

Bradley & Associates

Structural Engineer

Scottsdale, AZ

$85K - $100K/yr

In this role you will be given the autonomy to create projects beginning to end and interact with the junior engineers and designers to lead their design and coordinate with the Project managers ...

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

... autonomous agent patterns to accelerate development, testing, and operations. You will combine traditional engineering (Node.js backend, Angular front end, MongoDB, Camunda workflows) with LLMs, tool ...

Donato Technologies Inc

AI Engineer Agentic AI

Phoenix, AZ · On-site

$121.60K - $160.40K/yr

Drive technical direction for Agentic AI initiatives, including autonomy, scalability, reliability ... Mentor engineers and influence technical direction across teams. Required Technical Skills

Komatsu

Quality Assurance Engineer III

Tucson, AZ · On-site

Quality Assurance Engineer III Posting Start Date: 4/17/26 Job Location (Short): Tucson, Arizona ... Autonomous trucks are centrally controlled through a wireless network that integrates on-board ...

Komatsu

Quality Assurance Engineer II

Tucson, AZ · On-site

Quality Assurance Engineer II Posting Start Date: 5/11/26 Job Location (Short): Tucson, Arizona ... Autonomous trucks are centrally controlled through a wireless network that integrates on-board ...

Komatsu

Quality Assurance Engineer III

Tucson, AZ · On-site

Quality Assurance Engineer III Posting Start Date: 2/25/26 Job Location (Short): Tucson, Arizona ... Autonomous trucks are centrally controlled through a wireless network that integrates on-board ...

Komatsu

Quality Assurance Engineer III

Tucson, AZ · On-site

Quality Assurance Engineer III Posting Start Date: 5/11/26 Job Location (Short): Tucson, Arizona ... Autonomous trucks are centrally controlled through a wireless network that integrates on-board ...

Waabi

Safety Engineer, Collision Risk

Phoenix, AZ · On-site +1

$126.23K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology ... We are seeking a passionate and experienced safety or systems engineer to spearhead the development ...

Apple

Software Development Engineer

Mesa, AZ

This role sits at the exciting intersection of data engineering and generative AI - you'll explore and apply LLM-based tooling, autonomous agents, and modern AI frameworks to make our workflows ...

Symbotic

System Engineer

Buckeye, AZ · On-site

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

Lunewave, Inc.

Sensor Validation Engineer

Tucson, AZ · On-site

Sensor Validation Engineer Who we are: Lunewave Inc. is a privately held technology company ... such as autonomous transportation, 5G delivery, and drones. Description Summary: The Sensor ...

Symbotic

System Engineer

Buckeye, AZ

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

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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.

Senior Agent AI Engineer

Taiwan Semiconductor Manufacturing Company Limited

Phoenix, AZ • On-site

$128.60K - $176.60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Company
TSMC Arizona Corporation
Location
USA-Arizona
Posted
Mar 10, 2026
Senior Agent AI Engineer
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate its leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading-edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
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 work on building systems that enable agents to autonomously carry out tasks, plan actions, and collaborate with other agents, ensuring that these agents behave in a safe, reliable, and ethical manner. You will leverage cutting-edge AI technologies to design and implement autonomous agent systems that extend the capabilities of language models (LLMs) through integration with APIs, tools, and external software environments. You will focus on enabling agents to act independently, collaborate in multi-agent systems, and execute tasks with safety, reliability, and ethical considerations.
Key Responsibilities:
  • Design and implement autonomous agent systems with a focus on behavior modeling, task execution, and collaboration.
  • Integrate language models (LLMs) with tools, APIs, and software environments to extend agents' capabilities, such as interacting with databases, browsers, or external tools.
  • Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors to enable agents to act autonomously in dynamic environments.
  • Implement multi-agent systems to allow agents to collaborate, share knowledge, and solve complex problems collectively.
  • Ensure agents' actions align with predefined ethical and safety constraints, minimizing risks and unwanted behaviors.
  • Test and evaluate agents in real-world scenarios, iterating on designs based on feedback and performance metrics.
  • Research and experiment with emerging multi-agent frameworks (e.g., LangChain, AutoGPT, ReAct) to improve efficiency and capability.

Required Skills & Experience:
Education:
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical field.

Experience:
  • 5+ years of experience in developing autonomous systems or intelligent agents, particularly in AI or machine learning contexts.

Technical Skills:
  • Proficiency with agent architectures (e.g., LangChain, AutoGPT, ReAct) and techniques such as task planning, tool-use, and agent coordination.
  • Strong programming skills in Python and experience with AI frameworks for agent-based development.
  • Experience with multi-agent systems, including agent communication, task distribution, and collaborative workflows.
  • Deep understanding of LLMs and their integration with external APIs, tools, and software systems.

Preferred Skills:
  • Familiarity with AI safety and ethics, including preventing unwanted behaviors or biases in autonomous systems.
  • Experience in reinforcement learning (RL) and decision-making frameworks.
  • Familiarity with cognitive architectures or symbolic reasoning for agent systems.

Work Environment:
Candidates must be willing and able to work on-site at our Phoenix, Arizona facility.
Benefits:
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best.
We offer a comprehensive and competitive benefits program that includes:
  • A variety of medical, dental, and vision plans to best fit you and your family's needs.
  • Income-protection programs to assist you financially in case of injury or illness.
  • A 401(k)-retirement savings plan to help secure your financial future.
  • Competitive paid time-off programs and paid holidays to recharge and spend time with loved ones.

Work Location:
5088 W. Innovation Circle, Phoenix, AZ 85083
Equal Opportunity Employer Statement:
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
We encourage all qualified individuals to apply and welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
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