AI Perception Engineer

Attis; Iowa (LA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity stake

Venture-backed growth

Rapid prototyping environment

Job summary

Attis is seeking a hands-on Perception Engineer to advance autonomy for heavy equipment in challenging environments. You will architect perception systems, train multi-object trackers, and optimize data pipelines for real-time edge devices.

Responsibilities include integrating LiDAR, radar, and cameras, developing vision-language-action models, and deploying models with TensorRT/CUDA. Expect a fast, impact-driven team backed by strong venture support and equity opportunities.

Qualifications

• 3-5 years professional experience in robotics, perception, or autonomous systems.
• Strong programming skills in C++ and Python.
• Hands-on experience with PyTorch, TensorFlow, OpenCV, and ROS/ROS2.
• Deep understanding of deploying models via TensorRT, CUDA, or ONNX.
• U.S. Citizen or Lawful Permanent Resident (Green Card holder) is required.

Responsibilities

• Develop perception capabilities for machines to interpret complex, unstructured outdoor environments.
• Design and train neural networks for multi-object tracking, terrain interpretation, and classification.
• Build scalable data engines including collection, labeling, and training pipelines.
• Optimize machine vision models for deployment on edge-compute hardware.
• Integrate and fuse data from LiDAR, radar, and cameras for autonomous decision-making.
• Debug perception failures in real-world field environments to improve model reliability.
• Contribute to emerging vision-language-action model development for embodied AI.

Skills

C++

Python

PyTorch

TensorFlow

OpenCV

ROS/ROS2

TensorRT

CUDA

ONNX

Vision-Language Models

SLAM

LiDAR

Tools

edge-compute hardware

Job description

• My client builds production-ready autonomy for heavy equipment in the toughest environments.
• They enable OEMs in agriculture, mining, and construction to deploy autonomous fleets.
• Focused on rugged systems where GPS and visibility are often compromised.

Why Join?

• Join a tight-knit, agile team building the "brain" for 20-ton industrial machines.
• Work on high-impact problems involving perception, machine learning, and hardware integration.
• Significant equity stake in a high-growth company with top-tier venture backing.
• Rapid prototyping environment with a direct path from code to field validation.

The Role

A technical, hands-on role where you will:

• Develop perception capabilities for machines to interpret complex, unstructured outdoor environments.
• Design and train neural networks for multi-object tracking, terrain interpretation, and classification.
• Build scalable data engines including collection, labeling, and training pipelines.
• Optimize machine vision models for deployment on edge-compute hardware.
• Integrate and fuse data from LiDAR, radar, and cameras for autonomous decision-making.
• Debug perception failures in real-world field environments to improve model reliability.
• Contribute to emerging vision-language-action model development for embodied AI.

The Essential Requirements

• 3-5 years professional experience in robotics, perception, or autonomous systems.
• Strong programming skills in C++ and Python.
• Hands-on experience with PyTorch, TensorFlow, OpenCV, and ROS/ROS2.
• Deep understanding of deploying models via TensorRT, CUDA, or ONNX.
• U.S. Citizen or Lawful Permanent Resident (Green Card holder) is required.

What Will Make You Stand Out

• Experience with Vision-Language Models (VLM) or multimodal learning.
• Background in off-road autonomy, AgTech, or heavy equipment sectors.
• Expertise in 3D perception, SLAM, or sensor calibration.

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, Autonomous Vehicles, C++, Python, PyTorch, TensorRT, ROS2, LiDAR, SLAM, AI Engineer, Deep Learning, Edge AI.