AI Perception Engineer - Autonomy / Robotics

Attis; Iowa (LA); On-site; USD 130,000 - 200,000; Full time

Job summary

Attis is seeking an Early-Stage Heavy Tech Robotics Engineer to advance perception for autonomous off-road systems. You will work in a tight, fast-moving environment, building production-grade autonomy for challenging environments where GPS and visibility are unreliable.

Responsibilities include fusing LiDAR, Radar, Cameras, and GPS/INS data; training and deploying CNNs/Transformers; building scalable data labeling pipelines; and debugging perception in the field to boost real-world performance

Qualifications

• 3+ years professional experience in robotics, autonomy, or perception.
• Proficiency in Python and/or C++.
• Experience with ROS/ROS2, OpenCV, and PyTorch/TensorFlow.
• Proven ability to deploy models to edge compute platforms (TensorRT/ONNX).

Responsibilities

• Develop perception capabilities for obstacle detection and terrain interpretation.
• Train and implement modern deep learning architectures (CNNs and Transformers).
• Build scalable end-to-end data collection and labeling infrastructure.
• Fuse data from LiDAR, Radar, Cameras, and GPS/INS.
• Debug perception failures in the field to improve real-world performance.

Skills

Robotics expertise

Autonomy

Deep learning concepts

Tools

ROS/ROS2

OpenCV

PyTorch/TensorFlow

TensorRT/ONNX

Job description

Early-Stage Heavy Tech

$130,000 - $200,000 + Equity

The Company

• My client builds production-ready autonomy for the world’s most challenging off-road environments.
• They specialize in heavy machinery automation for agriculture, mining, and defense.
• The technology focuses on "messy" environments where GPS and visibility are unreliable.

Why Join?

• Work in a tight-knit, agile environment with zero corporate bureaucracy.
• Solve the "hard problems" of robotics, no clean roads or simple lines.
• See your code move 20-ton machines in real-world field tests.

The Role

A technical, hands-on role where you will:

• Develop perception capabilities for obstacle detection and terrain interpretation.
• Train and implement modern deep learning architectures (CNNs and Transformers).
• Build scalable end-to-end data collection and labeling infrastructure.
• Fuse data from LiDAR, Radar, Cameras, and GPS/INS.
• Debug perception failures in the field to improve real-world performance.

The Essential Requirements

• 3+ years professional experience in robotics, autonomy, or perception.
• High proficiency in Python and/or C++.
• Experience with ROS/ROS2, OpenCV, and PyTorch/TensorFlow.
• Proven ability to deploy models to edge compute platforms (TensorRT/ONNX).

What Will Make You Stand Out

• Background in Off-Road autonomy or heavy machinery industries.
• Experience with Vision-Language Models (VLM) or multimodal learning.
• Expertise in sensor calibration or 3D SLAM.

Disclaimer: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role.

Keywords for Search (SEO): Perception Engineer, Computer Vision, Robotics Engineer, Machine Learning, Deep Learning, PyTorch, C++, Python, ROS2, LiDAR, TensorRT, SLAM, Autonomous Vehicles, Edge AI, Off-Road.