Robotics Perception Engineer Jobs in Colorado (NOW HIRING)

AION Robotics builds best in class autonomous vehicles designed for critical infrastructure monitoring, construction, mining and energy. Our vehicles operate in the toughest off-highway environments, where safety, accuracy, and efficiency are paramount. We are seeking a highly experienced GNC Engineer to design and optimize next-generation control architectures for our real-time edge autonomous systems.
About AION ROBOTICS CORPORATION
AION Robotics is a rapidly growing startup manufacturing advanced, rugged autonomous ground vehicles. We are bringing Industry 4.0 to outdoor commercial jobsites through the scaled deployment of turnkey autonomous products fully automating infrastructure monitoring and inspection tasks.If our current open roles don't align with your background, we still want to connect with you. Join our Talent Network!
Description
Senior Edge AI Perception Engineer
Location: Arvada, Colorado
About AION Robotics
AION Robotics builds best in class autonomous vehicles designed for critical infrastructure monitoring, construction, mining and energy. Our vehicles operate in the toughest off-highway environments, where safety, accuracy, and efficiency are paramount.
Position Overview
We are seeking a highly skilled Edge AI Perception Engineer to design, optimize, and deploy cutting-edge deep learning models for real-time autonomous vehicle perception systems. This role involves building ultra-efficient pipelines for neural network inference on NVIDIA embedded platforms (Orin, Thor), integrating perception outputs with sensor fusion (LiDAR, camera), and pushing the limits of latency, throughput, and accuracy in real-world autonomous systems.
Key Responsibilities

• Neural Network Model Development & Optimization
• Build and manage optimized neural network pipelines tailored for edge deployment in autonomous vehicle systems.
• Implement, compress, and optimize models (pruning, quantization, scheduling) to run on GPU, DLA, and Tensor cores.
• Work with architectures including monocular depth models, YoloX, PeopleNet, ResNet, and others.
• Pipeline & Resource Management
• Leverage NVIDIA DeepStream, TensorRT, CUDA, and TAO Toolkit to create high-performance perception pipelines.
• Manage model/hardware resource allocation across GPU/DLA for real-time scheduling and execution.
• Optimize pipelines "lens-to-detections" meeting ultra-low latency constraints on embedded devices such as NVIDIA Orin & Thor.
• Sensor Integration & Perception Enhancements
• Apply real-time geometric transforms to object detections and semantic segmentation results for geo-referencing and LiDAR point cloud filtering.
• CUDA accelerated 3D Terrain mapping
• Develop and maintain automated data collection pipelines, including dataset formatting, labeling workflows (CVAT), and fine-tuning for custom training.
• Camera Systems Engineering
• Implement real-time dewarped camera pipelines using GMSL drivers, VIC, and ARGUS APIs on embedded platforms.
• Collaborate with hardware engineers to achieve consistent calibration and synchronization across multiple sensors.
• Research & Innovation
• Stay up to date with bleeding-edge advancements in neural networks, edge AI optimization, and autonomous perception.
• Rapidly prototype and validate new models and methods for production deployment.

Qualifications

• Direct real-world experience in computer vision, deep learning, or edge AI systems.
• Strong proficiency with CUDA, TensorRT, NVIDIA DeepStream, TAO Toolkit, PyTorch/TensorFlow.
• Demonstrated experience with model optimization techniques (e.g., pruning, quantization, distillation, scheduling).
• Hands-on experience deploying AI pipelines to embedded edge platforms (preferably NVIDIA Jetson Orin or Thor).
• Expertise in object detection, semantic segmentation, and depth estimation.
• Solid understanding of real-time embedded system constraints and low-latency optimization strategies.
• Strong programming skills in C++ and Python.

Preferred Experience

• Experience with low-level camera system integration, including:
• ISP tuning
• Intrinsic & extrinsic calibration algorithms
• Multi-camera synchronization and fusion
• Familiarity with sensor fusion pipelines combining camera, LiDAR, and IMU.
• Direct experience working in autonomous vehicles, robotics, ROS2 or safety-critical perception systems.

Why Join AION Robotics?

• You'll be part of a team pushing the limits of real-time edge AI for autonomous robotics, working with the latest NVIDIA platforms, and contributing directly to next-generation perception systems that operate in the field under demanding real-world conditions.
• Direct opportunity to shape the future of perception in construction, mining, energy and defense sectors.
• Help build a world-class, efficient team of high ownership AI Engineers, roboticists, and innovators.
• Competitive compensation, equity opportunities, and comprehensive benefits.

COMPENSATION AND BENEFITS:
Robotics Engineer: $150,000.00 - $250,000.00/per year
This position is eligible for:
o Restricted Stock Options
o Aggressive Annual Bonus & Base Salary Reviews
o Personalized PTO
o Wellness Program
o 401K Retirement Plan
o Medical, Vision & Dental
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, experience and equity compensation package.
Base salary is just one part of your total rewards package at AION Robotics. You may also be eligible for long-term incentives, in the form of restricted stock options, or long-term cash awards, and potential discretionary bonuses. We offer our employees personalized Paid Time Off (PTO), subject to manager approval, to ensure a healthy work-life balance and flexibility in managing personal and professional responsibilities. You will also receive access to comprehensive medical, vision, and dental coverage, short and long-term disability insurance, and life insurance.
AION Robotics is an Equal Opportunity Employer; employment with AION Robotics is governed based on merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Salary
$150,000 - $250,000 per year