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In office
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Feb 23, 2026. SteerAI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
SteerAI transforms standard security and defense vehicles into autonomous fleets. Scale complex multi-terrain operations with AI-powered mobility solutions.

About SteerAI

SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.

Role Overview

We are looking for a Perception Engineer  to join our GROUND Robotics team. In this role, you will be primarily responsible for maintaining and evolving the perception module of SteerAI’s CoreX autonomy stack, which supports autonomous mission execution across diverse platforms.

Key Responsibilities

  • Maintain and improve CoreX’s perception module, including capabilities such as object detection, semantic segmentation, multi-object tracking, LiDAR-based terrain understanding.
  • Extend and adapt the perception system for new robotics platforms  and deployment scenarios.
  • Develop clean, modular, and efficient C++ code  aligned with industry best practices and ROS1/ROS2 standards.
  • Collaborate closely with localization, planning, and controls teams to ensure seamless system integration and performance.
  • Conduct field testing and iterative tuning of perception features under real-world conditions.
  • Contribute to code reviews and maintain detailed technical documentation for system components.

Qualifications

  • Bachelor’s or Master's degree in Robotics, Computer Vision, or a related field.
  • 4+ years of experience  in real-time perception or computer vision systems.
  • Strong programming skills in C++, with hands-on experience in ROS1 or ROS2-based systems.
  • Proficiency with common perception libraries and frameworks such as OpenCV, PCL, Open3D, PyTorch, and TensorRT.
  • Practical experience with  sensor calibration, obstacle detection, LiDAR filtering, and related perception tasks.
  • Familiarity with multiple sensor modalities including LiDAR, monocular/stereo cameras.
  • Experience using modern development tools and workflows (e.g., Git, Docker, Jenkins).
  • Exposure to off-road or unstructured terrain perception challenges.
  • Familiarity with traditional perception techniques, alongside deep learning-based methods including dataset preparation, model development, and deployment; experience with transformer-based approaches is a plus.
  • Hands-on experience with ARM64-based edge devices  such as the  NVIDIA Jetson family
  • Strong communication skills, capable of effectively explaining complex idea.
  • Able to work independently and as part of a fast-paced, mission-driven team.
  • Proactive mindset with a willingness to pivot between different parts of the perception stack when needed.

What We Offer

We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.

Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.

Join us to drive innovation and shape the future of technology!

How to Apply:

Are you ready to embark on an exciting journey with SteerAI? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.

At SteerAI, we’re not just building technology - we’re shaping the future of autonomous mobility. If you’re passionate about making a real impact and working alongside a diverse team of curious minds, we’d love to hear from you. Join us!

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