Role Overview

This is an opportunity to become a key contributor to a growing organization focused on solving high-impact mobility problems. The Senior Computer Vision AI Software Engineer will lead engineering efforts, design and implement advanced software systems, and collaborate with cross-functional teams to deliver reliable AI-powered solutions.

Responsibilities

Business Responsibilities

• Contribute to the company’s growth strategy and technical direction
• Collaborate across multiple teams working on mobility and transportation technologies
• Troubleshoot and support field applications
• Work within a Scrum/Agile development environment
• Conduct knowledge transfer and training for engineers
• Mentor team members and conduct one-on-one meetings

Technical Responsibilities

• Develop high-quality real-time embedded software focused on performance and reliability
• Apply computer vision and deep learning techniques to analyze LiDAR, video, and radar data
• Build perception algorithms for object detection, classification, and tracking
• Define requirements for hardware, software, and communication systems
• Develop embedded firmware in C++
• Build and maintain data pipelines and datasets for model training
• Integrate deep learning models into perception systems
• Maintain solutions for object recognition and obstacle detection
• Produce clear technical documentation from architecture to implementation guides
• Conduct technical analysis of optical devices such as LiDAR
• Implement best practices including automated testing, CI/CD, code reviews, and code standards
• Design systems resilient to failures
• Work with vendors and technology partners to resolve technical issues
• Stay current with research in AI and computer vision

Required Skills and Experience

• 4–8+ years of experience in technology development and engineering leadership
• Strong proficiency in C++ and Python (minimum 5 years)
• Experience developing on Linux platforms
• Expertise in computer vision, machine learning, or deep learning systems
• Experience with Kalman filters and model development for object detection and classification
• Experience processing sensor data from cameras, LiDAR, radar, and sensor fusion systems
• Strong software design, system architecture, and algorithm development skills
• Experience building distributed or real-time embedded systems
• Ability to write maintainable, production-grade software

Preferred Qualifications

• Experience with NVIDIA Jetson edge devices (Nano, NX, Orin)
• Familiarity with NVIDIA libraries such as TensorRT and DeepStream
• Experience with robotics or perception systems
• Knowledge of networking, multithreading, and distributed systems
• Experience with data labeling and image annotation
• Knowledge of cloud architecture or web systems

Education

BS, MS, or PhD in Computer Science, Robotics, Artificial Intelligence, Software Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related field.

Soft Skills

• Strong problem-solving ability
• Excellent communication and collaboration skills
• Ability to work independently and in fast-paced environments
• Ability to prioritize tasks and explain technical decisions clearly