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Robotics Research Engineer Jobs in Arizona (NOW HIRING)

ASM

Engineer II, Mechanical Engineering

Phoenix, AZ · On-site

Collaborating across R&D and engineering teams, you'll bring innovative concepts to life and drive ... Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics * Experience with modern ...

Axon

Manufacturing Engineer II (Onsite)

Phoenix, AZ · On-site

$72K - $93K/yr

Provide engineering guidance to technicians, trainers, and production leads ... Research, evaluate, and select manufacturing equipment, robotics, and automation technologies as ...

ASM

Senior Mechanical Engineer

Phoenix, AZ · On-site

$103K - $137K/yr

Collaborating across R&D and engineering teams, you'll bring innovative concepts to life and drive ... Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics * Experience with modern ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

... research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages ...

ASM

Senior Engineer I, Mechanical Engineering

Phoenix, AZ · On-site

$103K - $137K/yr

Apply sound engineering principles, product specifications and research data to create designs for ... Demonstrated passion for Mechatronics in the form of robotics, industrial automation, and/or ...

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All JobsRobotics Research Engineer JobsRobotics Research Engineer Jobs in Arizona

Robotics Research Engineer information

See Arizona salary details

$27K

$98.4K

$157.5K

How much do robotics research engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for robotics research engineer in Arizona is $98,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $118,300.00 per year, depending on experience, location, and employer.

What does a robotics research engineer do?

A Robotics Research Engineer designs, develops, and tests robotic systems by integrating hardware and software for automation and intelligent behavior. They conduct research to improve robotic capabilities in areas such as perception, control, and machine learning. Their work involves programming, simulation, and experimentation to enhance robot performance for applications in industries like healthcare, manufacturing, and space exploration.

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

To thrive as a Robotics Research Engineer, you need strong knowledge in robotics, control systems, programming (such as C++ or Python), and a relevant degree in engineering or computer science. Experience with simulation tools (like ROS or Gazebo), machine learning frameworks, and sometimes certifications in robotics or AI are valuable assets. Excellent problem-solving abilities, teamwork, and effective technical communication make someone stand out in this position. These skills are essential for innovating, troubleshooting, and successfully collaborating on complex robotic projects.

What are the most commonly searched types of Robotics Research Engineer jobs in Arizona?

The most popular types of Robotics Research Engineer jobs in Arizona are:

What are popular job titles related to Robotics Research Engineer jobs in Arizona?

For Robotics Research Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Robotics Research Engineer jobs in Arizona look for?

The top searched job categories for Robotics Research Engineer jobs in Arizona are:

Robotics Research Engineer jobs near you
Infographic showing various Robotics Research Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $98,412 per year, or $47.3 per hour.

Senior / Staff ML Training Optimization Engineer

3M HEALTHCARE

Phoenix, AZ • On-site

$140 - $210/hr

Other

Re-posted yesterday

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 powers 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, we are 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

Responsibilities
  • Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
  • Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
  • Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization‑aware training and inference, and compilation/deployment techniques.
  • Work with researchers and ML engineers on best‑practices for optimal resource usage.
  • Create and improve tooling and dashboards to ensure broad adoption of your work.
Qualifications
  • MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
  • Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
  • Experience in deep learning frameworks such as PyTorch or Jax.
  • Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
  • Open‑minded and collaborative team player with willingness to help others.
  • Passionate about self‑driving technologies, solving hard problems, and creating innovative solutions.
Bonus / Nice to have
  • Experience in identifying when custom CUDA kernels are needed, and implementing them.
  • Experience in Bazel in a monorepo environment, and integrating third‑party packages into dev environments.
  • Experience with Kubernetes‑based training platforms.
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