Geometric Deep Learning Jobs in Boulder, CO (NOW HIRING)

Job Summary:
AION Robotics Corporation is a rapidly growing startup manufacturing advanced autonomous ground vehicles for critical infrastructure monitoring. They are seeking a highly skilled Senior Edge AI Perception Engineer to design, optimize, and deploy deep learning models for real-time autonomous vehicle perception systems.
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.
• 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.
• 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.
• 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.
• 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:
Required:
• 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 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.
Company:
Our rugged autonomous vehicles bring Industry 4.0 to outdoor commercial jobsites through the automation of infrastructure monitoring, maintenance and inspection tasks. Founded in 2016, the company is headquartered in Denver, USA, with a team of 11-50 employees. The company is currently Early Stage.