Autonomous Driving: Planning & Prediction DL Engineer

well-funded deeptech startup; California (MO); On-site; USD 315,000 - 385,000; Full time

Job summary

A well-funded deeptech startup in California is seeking an experienced Deep Learning Engineer to join its autonomous driving team. This role involves designing and optimizing deep learning models for planning and prediction, directly impacting the evolution of smart vehicles.

The ideal candidate will have strong expertise in deep learning frameworks, programming skills in Python and C++, and familiarity with autonomous driving technologies. Join our team to push the boundaries of innovation in the EV sector.

Qualifications

• Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Proven experience in developing and deploying deep learning models for planning and prediction tasks.
• Familiarity with autonomous driving systems and relevant sensor technologies.

Responsibilities

• Design, develop, and optimize deep learning models for planning and prediction in autonomous driving systems.
• Implement state-of-the-art algorithms for object detection, motion prediction, and behavior planning.
• Collaborate with cross-functional teams to integrate deep learning models into the autonomous driving stack.

Skills

Deep learning frameworks (TensorFlow, PyTorch)

Python

C++

Problem-solving

Teamwork

Communication

Education

Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, or related field

Tools

Simulation tools (e.g., CARLA)

Job description

A well-funded deeptech startup in California is seeking an experienced Deep Learning Engineer to join its autonomous driving team. This role involves designing and optimizing deep learning models for planning and prediction, directly impacting the evolution of smart vehicles.

The ideal candidate will have strong expertise in deep learning frameworks, programming skills in Python and C++, and familiarity with autonomous driving technologies. Join our team to push the boundaries of innovation in the EV sector.