Arbetsbeskrivning

Role: Computer Vision Engineer

We’re looking for a passionate Computer Vision Engineer to join our core engineering team. You’ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.

What You’ll Do

• Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
• Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
• Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
• Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
• Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
• Publish and present work internally and externally (patents, research collaborations).

What We’re Looking For

• Strong background in computer vision, deep learning, or robotics.
• Hands-on experience with PyTorch, TensorFlow, or ONNX.
• Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
• Solid programming skills in Python (C++/Swift is a plus).
• Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
• A problem-solver mindset: comfortable working on ambiguous, high-impact projects.

Bonus Points For

• Experience in autonomous driving, ADAS, or driver monitoring systems.
• Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
• Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
• Contributions to open-source projects in CV/ML.

Why Join Us?

• Be part of a once-in-a-generation innovation redefining road safety.
• Work in a fast-growing startup with traction across the US and Europe.
• Collaborate with a team of AI, robotics, and medical innovators.
• Flexible hybrid/remote setup.
• Competitive salary + equity options.

How to Apply

Send your CV, portfolio/GitHub, and a short note about why you’d like to join QTPIE to [email protected].

QTPIE is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.