Autonomy Engineer III

About Pratt Miller, an Oshkosh company

Pratt Miller is a product development company in motorsports, defense, and mobility industries providing clients with product engineering and low-volume production solutions. Our range of research & development, engineering, prototype manufacturing, test & validation, and low-rate production capability help our customers bring their high-quality products to market faster.

The Senior Autonomy Engineer will have expertise in localization to help develop advanced technologies for autonomous and automated platforms. As part of a small, fast-paced autonomy team, this position will lead the development of localization algorithms while also contributing across the autonomy stack when needed.

Responsibilities:

• Design, implement, and test cutting-edge algorithms for robust vehicle localization.
• Develop solutions to accurately estimate vehicle pose using data from GNSS, IMU, wheel odometry, etc.
• Validate and verify localization and mapping methods using prototype autonomous platforms
• Contribute across the autonomy stack, supporting tasks outside your core domain when needed
• Collaborate with teammates across disciplines.

Qualifications:

We welcome candidates with diverse backgrounds and varying levels of experience. The following qualifications are tailored to different educational backgrounds:

• Ph.D. in a relevant field (e.g., robotics, computer science, electrical engineering):
  Applied research experience in localization, perception, or autonomy. No industry experience required if research is directly relevant.
• Master’s degree with 5+ years of experience:
  Practical, hands-on experience in localization systems, sensor fusion, and autonomy software. Proficiency in C++ and Python is essential.
• Bachelor’s degree with 7–8+ years of experience:
  Demonstrated contributions to localization, perception, or autonomy projects. Deep practical knowledge of multi-sensor integration and real-world validation.

Preferred skills:

• Expertise in localization techniques, such as Kalman filters or particle filters
• Experience with multi model localization (e.g., GNSS + IMU + wheel odometry integration)
• Proficient with ROS2, Linux, C++, Python, and tools like OpenCV, PCL, and robot localization
• Prior work on real-world autonomous deployments.

Additional details

• Primarily Monday–Friday daytime work schedule; occasional nights/weekends for milestone delivery or testing events.
• Light physical activity may be required during on-vehicle testing.
• Occasional travel may be needed for customer site visits or test events.
• If you’re passionate about autonomy and thrive in a fast-paced environment, we’d love to hear from you! Apply now and be part of our exciting journey towards a more autonomous world.

Pay Range:

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