Hybrid Autonomy Engineer — Robotics & Perception

Applied Research Associates, Inc.; False Pass (AK); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Neya Systems, a division of Applied Research Associates (ARA), seeks an Autonomy Engineer to develop, integrate, and test autonomy software across unmanned ground vehicle platforms. Hybrid work requires onsite three days per week at Warrendale, PA, with some remote days.

You will work hands-on with robotic platforms, sensors, and autonomy algorithms, collaborating with a multidisciplinary team to bring up systems, validate performance, and deliver high-reliability autonomy.

Qualifications

• BS in robotics, engineering, CS, or related field.
• Proficiency in C++ and/or Python.
• Experience with robotic sensors and hardware integration.
• Strong software fundamentals: debugging, algorithms, unit testing.

Responsibilities

• Integrate autonomy software with robotic platforms and onboard sensors.
• Support bring-up, testing, and debugging of autonomy components in lab and field environments.
• Contribute to navigation, perception, planning, or robotics behaviors modules.
• Collaborate with senior engineers to diagnose performance issues and develop solutions.
• Participate in field tests, collect and analyze data, and validate autonomy performance.
• Collaborate across mechanical, electrical, perception, and systems teams.
• Contribute to documentation, code reviews, and engineering best practices.
• Travel occasionally (typically 10-25%) for testing or project support.

Skills

C++ / Python

Robotics sensors

Hardware integration

Software skills

Education

B.S. in Robotics, Engineering, Computer Science, or related field

Tools

ROS2

Robotics middleware

Linux development

Job description

Neya Systems, a division of Applied Research Associates (ARA), seeks an Autonomy Engineer to develop, integrate, and test autonomy software across unmanned ground vehicle platforms. Hybrid work requires onsite three days per week at Warrendale, PA, with some remote days.

You will work hands-on with robotic platforms, sensors, and autonomy algorithms, collaborating with a multidisciplinary team to bring up systems, validate performance, and deliver high-reliability autonomy.