Computer Vision Engineer

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

The Infotainment Camera Imaging and Computer Vision team delivers imaging technology and features underlying Rivian’s adventure user experiences and services. This multi-disciplinary team brings expertise in cameras, algorithms, performance software on state-of-the art computer platforms, and validation to the actual product. As a Computer Vision Engineer, you will have a unique opportunity to research and develop computer vision, deep learning and image/video enhancement algorithms for vehicle security and driver assistance. You will also expand your horizons to collaborate with other domain experts to bring our innovations from concept to product.

Responsibilities

• Research, design, develop and optimize computer vision algorithms using either geometric or deep learning techniques.
• Prototype algorithms on PC and embedded platforms with constrained compute and memory resources.
• Collaborate with software and system engineers to prototype systems on test vehicles employing algorithm IP.
• Evaluate the performance of algorithms/neural networks in simulation, testbenches and in actual field testing.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• 5+ years algorithm development experience in one or more of image processing, computer vision, perception
• Solid understanding of machine learning, deep learning, and neural network architectures
• Experience programming in C++, Python, or related languages.
• Experience with TensorFlow, PyTorch, OpenCV.
• Proficiency in using image processing, computer vision, and deep learning toolkits.
• Passionately motivated to take ideas from R&D phase to a product.
• Good written communication and presentation skills.

Preferred Qualifications

• Experience with deep learning model deployment on edge devices.
• Experience with computer vision systems for automotive, robotics or mobile devices.
• Strong ability in problem solving and driving for results.
• Strong communication and presentation skills.