Senior Computer Vision Test Engineer

We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact to design, develop, and execute robust test strategies for cutting-edge perception systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production.
• Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest.
• Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions.
• Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry.
• Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments.
• Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV.
• Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments.
• Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim.
• Excellent communication skills with a strong ownership mindset and the ability to work independently.

Benefits

• Healthcare benefits
• 401(k) plan
• Short-term and long-term disability coverage
• Basic life insurance
• Lucrative stock option plan
• Bonus plans