Autonomous Driving AI Deployment Intern (Edge Inference)

Xpengmotors; Santa Clara (CA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Supportive and engaging environment

Infrastructures and resources for work

Competitive compensation package

Snacks and meals provided

Job summary

Xpengmotors is seeking a motivated entry-level engineer or intern to support the optimization and deployment of multimodal models into vehicle-grade compute platforms. The role involves working with advanced technologies in AI and autonomous driving.

Applicants should have a relevant degree and strong programming skills in C++ and Python, along with an interest in deep learning technologies. The position promises a supportive environment and the chance to work on cutting-edge technologies.

Qualifications

• Bachelor's, Master's, or PhD in a relevant field.
• Strong programming skills in C++ and/or Python.
• Familiarity with deep learning frameworks such as PyTorch.

Responsibilities

• Support model quantization and deployment for large-scale multimodal models.
• Assist with applying model optimization techniques under guidance.
• Work with teams to improve model deployability.

Skills

Programming skills in C++ and/or Python

Familiarity with deep learning frameworks such as PyTorch

Understanding of model inference and optimization

Strong problem-solving skills

Education

BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field

Tools

CUDA

GPU programming

Job description

Xpengmotors is seeking a motivated entry-level engineer or intern to support the optimization and deployment of multimodal models into vehicle-grade compute platforms. The role involves working with advanced technologies in AI and autonomous driving.

Applicants should have a relevant degree and strong programming skills in C++ and Python, along with an interest in deep learning technologies. The position promises a supportive environment and the chance to work on cutting-edge technologies.