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Military Robotics Jobs in Arizona (NOW HIRING)

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... military or veteran status, marital status, pregnancy or parental status, caregiver status ...

Intuitive

Clinical Territory Associate

Phoenix, AZ

As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like ... Minimum 1-year leadership (military) experience or 1 year of outside sales experience required

Intuitive

Clinical Territory Associate

Phoenix, AZ · On-site +1

As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like ... Minimum 1-year leadership (military) experience or 1 year of outside sales experience required

Amkor Technology

Sr. Director, Factory Automation

Tempe, AZ · On-site

$99K - $130K/yr

Lead the design, deployment, and maintenance of automation hardware (robots, conveyors, material ... status, military or veteran status, citizenship, or other characteristics protected by state or ...

Amkor Technology

Sr. Specialist, Accounts Receivable

Tempe, AZ · On-site

$19.50 - $25.50/hr

Exposure to predictive analytics, robotic process automation (RPA), or intelligent workflow tools ... status, military or veteran status, citizenship, or other characteristics protected by state or ...

Waabi

Sensors Team Lead

Phoenix, AZ · On-site

Deep technical knowledge of automotive or robotics sensors (Lidar, Radar, Cameras). * Demonstrated ... military or veteran status, marital status, pregnancy or parental status, caregiver status ...

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All JobsMilitary Robotics JobsMilitary Robotics Jobs in Arizona

Military Robotics information

See Arizona salary details

$78.3K

$89.5K

$108.6K

How much do military robotics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for military 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 a military robotics professional?

A Military Robotics job involves designing, developing, and maintaining robotic systems used in defense applications. These professionals work on autonomous drones, ground robots, and AI-driven military technologies to enhance operational efficiency and safety. Roles can range from robotics engineers to AI specialists and technicians. Military robotics experts collaborate with defense agencies to create advanced systems for surveillance, reconnaissance, combat, and logistical support.

What types of projects and responsibilities can I expect as a military robotics professional?

As a Military Robotics professional, you can expect to work on designing, prototyping, testing, and integrating robotic platforms used for reconnaissance, logistics, or combat support. Your responsibilities may include writing and debugging code, managing system diagnostics, collaborating with cross-functional teams of engineers and military personnel, and ensuring compliance with defense standards. Projects often involve troubleshooting complex technical issues and implementing field-ready solutions under tight deadlines. Teamwork is essential, as you will regularly work alongside specialists in software, hardware, and military operations. Over time, hands-on experience and project leadership can lead to advanced roles such as systems architect or program manager.

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

Excelling in Military Robotics requires a solid background in robotics engineering, computer programming, and mechanical/electrical systems, often supported by a relevant degree such as electrical or mechanical engineering. Familiarity with control systems, autonomous navigation software, military-grade hardware, and certifications like Security Clearance are frequently necessary. Critical thinking, attention to detail, and effective teamwork are vital soft skills in this field. These attributes are crucial for developing, testing, and maintaining advanced robotic systems in high-stakes defense environments.

What are popular job titles related to Military Robotics jobs in Arizona? For Military Robotics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Military Robotics jobs in Arizona look for? The top searched job categories for Military Robotics jobs in Arizona are:
Military Robotics jobs near you
Infographic showing various Military Robotics job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $89,461 per year, or $43 per hour.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 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

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 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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