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AI Intern – VLA Deployment at XPENG - ApplyBlast

AI Intern – VLA Deployment

XPENG

5 months ago

3.3 on Glassdoor

Remote

Internship

Intern

1 applicant

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About this role

An entry-level engineer or intern supporting the optimization and deployment of multimodal models onto vehicle-grade compute platforms for autonomous driving systems.

Responsibilities

Support model quantization and deployment efforts for large-scale multimodal models, including Transformers and vision-language models
Assist with applying model optimization techniques such as post-training quantization, quantization-aware training, pruning, and related compression methods
Work with research and platform teams to help improve model deployability and understand hardware and runtime constraints
Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for autonomous driving systems
Help analyze model performance, memory usage, latency, and numerical accuracy across different deployment targets

Skills

Qualifications

BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related fieldStrong programming skills in C++ and/or PythonFamiliarity with deep learning frameworks such as PyTorchBasic understanding of model inference, deployment, or optimization workflows using tools such as ONNX, TensorRT, or similar frameworksExposure to model compression or quantization concepts such as INT8, FP16, or related approaches

About XPENG

xpeng.com

Headquarters

Guangzhou, Guangdong, China

Company Size

10001+ employees

Founded

2014

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XPENG is a Chinese smart electric-vehicle manufacturer that designs and builds performance-focused EV sedans, SUVs and MPVs with an emphasis on connectivity, safety and sustainability. The company develops proprietary software and hardware — including the XPILOT advanced driver-assistance system, smart cockpit features and over‑the‑air updates — to deliver continual feature and performance improvements. XPENG sells models such as the P7, G9, G6 and X9 and is expanding internationally with retail outlets, service centers and charging support across Europe, Southeast Asia and other markets. Its technology‑first approach positions the company as a competitor in the premium EV segment, focused on AI, autonomous driving and integrated vehicle services.