Senior Algorithm Engineer, Deep Learning & Vision

What you'll do

• Explore approaches using deep learning, neural networks, and foundation models for autonomous-driving tasks.
• Manage the machine-learning project lifecycle, from data analysis and experiments through performance verification.
• Collaborate across product, simulation, and autonomous-driving algorithm teams to extend machine-learning technology.

What they ask for

• Advanced degree (Ph.D. or Master’s) in a related field, such as computer science, computer engineering, robotics, mathematics, or physics.
• In-depth machine-learning and/or computer-vision knowledge and experience, including modern transformer architectures and state-of-the-art techniques.
• Familiarity with PyTorch, TensorFlow, and other machine-learning platforms and tools.
• Ability to work independently in a fast-paced environment and collaborate across teams.

Nice to have

• First-author research publications in top conferences and/or journals.
• Knowledge or experience in generative models, model distillation, or inference acceleration techniques such as TensorRT.

Tools

PyTorch, TensorFlow, TensorRT

AI focus

Deep learning, neural networks, and foundation models for object detection, tracking, prediction, planning, control, end-to-end autonomous driving, online mapping, and SLAM.