Computer Vision Engineer

Location: Englewood, CO
Employment Type: Full-Time
Department: Engineering / AI & Machine Learning

About the Role

We’re looking for a highly skilled Computer Vision Engineer to join our team and help build next-generation visual intelligence solutions. You will develop, optimize, and deploy algorithms that enable machines to understand visual data at scale. This role is ideal for someone who enjoys pushing the boundaries of deep learning, real-time inference, and perception systems.

What You’ll Do

• Design, implement, and optimize computer vision algorithms for detection, tracking, segmentation, recognition, and 3D understanding.
• Build and train deep learning models using frameworks such as PyTorch, TensorFlow, or ONNX.
• Work with large-scale image/video datasets, improving data pipelines and annotation quality.
• Deploy models into production on edge devices, cloud environments, or embedded systems.
• Collaborate with cross-functional teams including software engineering, robotics, and product development.
• Perform benchmarking, model optimization, and performance tuning (e.g., TensorRT, quantization, pruning).
• Stay up to date with research and evaluate state-of-the-art vision techniques for real-world applications.

What You Bring

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, or related field (PhD is a plus).
• Strong foundation in computer vision, image processing, and deep learning.
• Hands-on experience with CNNs, transformers, generative models, and modern architectures.
• Proficiency in Python, C++, and experience with GPU computing (CUDA preferred).
• Familiarity with CV libraries such as OpenCV, Open3D, MMDetection, Detectron2, or similar.
• Experience in training and deploying models on real-world systems.
• Excellent problem-solving skills and the ability to translate research into production-ready code.

Nice-to-Have Skills

• Experience with SLAM, 3D reconstruction, or LiDAR perception.
• Background in robotics, autonomous systems, or embedded platforms (Jetson, ARM).
• Knowledge of MLOps tools for model versioning, monitoring, and deployment.
• Contributions to open-source projects or published research.

Why Join Us

• Work on cutting-edge computer vision applications that make a real impact.
• Opportunity to shape product vision and contribute to core AI architecture.
• Collaborative and innovative team culture.
• Competitive salary, based on experience.

Job Type: Full-time

Pay: $122,000.00 - $160,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person