AI Intern: Edge ML & Multimodal Model Deployment

XPENG; Santa Clara (CA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Supportive work environment

Job summary

XPENG is offering an entry-level engineer or intern position in Santa Clara, California, focused on optimizing and deploying multimodal models for autonomous driving. Candidates will support model quantization efforts, work on deployment tools in C++ and Python, and analyze model performance metrics. Ideal applicants will have a relevant degree and programming skills in C++ and/or Python.

Joining XPENG means engaging with cutting-edge technology and contributing to the future of transportation. The role offers a supportive environment with opportunities for professional growth and competitive compensation.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Robotics, or related field.
• Strong programming skills in C++ and/or Python.
• Familiarity with deep learning frameworks such as PyTorch.

Responsibilities

• Support model quantization and deployment of multimodal models.
• Assist with applying model optimization techniques.
• Work with research teams to improve model deployability.

Skills

C++ programming

Python programming

Deep learning frameworks (PyTorch)

Model optimization techniques

Problem-solving skills

Education

BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics

Tools

ONNX

TensorRT

CUDA

Job description

XPENG is offering an entry-level engineer or intern position in Santa Clara, California, focused on optimizing and deploying multimodal models for autonomous driving. Candidates will support model quantization efforts, work on deployment tools in C++ and Python, and analyze model performance metrics. Ideal applicants will have a relevant degree and programming skills in C++ and/or Python.

Joining XPENG means engaging with cutting-edge technology and contributing to the future of transportation. The role offers a supportive environment with opportunities for professional growth and competitive compensation.