Planning & Prediction Deep Learning 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

Planning & Prediction Deep Learning Engineer – Santa Clara, CA – Up To $350,000 + RSUs

The company is a leading organization dedicated to creating intelligent, connected, and sustainable transportation solutions. The company is committed to pushing the boundaries of innovation and technology to shape the future of mobility. With its cutting-edge autonomous driving technology, the company is at the forefront of the EV revolution.

Job Description

The company is seeking a talented and highly motivated Deep Learning Engineer to join its rapidly growing autonomous driving team. As a Deep Learning Engineer, the selected candidate will play a pivotal role in the development and optimization of autonomous driving systems. Their work will directly impact the evolution of smart and efficient vehicles, contributing to the advancement of the automotive industry.

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.
• Conduct research to stay updated on the latest advancements in deep learning and apply them to enhance autonomous driving capabilities.
• Analyze and process sensor data to improve decision-making processes.
• Continuously evaluate and refine the performance of deep learning models to meet safety and efficiency standards.
• Participate in data collection and annotation efforts to support model training.
• Contribute to the development of simulation environments for testing and validation.

Qualifications

• A bachelor’s, master’s, or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• 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.
• Solid programming skills in languages such as Python and C++.
• Strong problem-solving abilities and a commitment to innovation.
• Excellent teamwork and communication skills.
• Experience with simulation tools for autonomous driving, such as CARLA, is a plus.