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XPENG · 4 months ago

Senior Staff Computer Vision Engineer - Deployment

Santa Clara, CA

Full-time

Onsite

Senior Level, Lead/Staff

$244K/yr - $413K/yr

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are seeking a passionate and skilled Senior Staff Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models, focusing on optimizing model inference and ensuring efficient on-device deployment.

AutomotiveAutonomous VehiclesElectric VehicleManufacturing

Responsibilities

Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms

Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation

Develop and integrate custom inference kernels targeting GPU or custom AI accelerators

Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies

Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration

Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines

Qualification

C++PythonModel compression techniquesDeep learning deploymentCUDA programmingQuantization-aware trainingPerformance tuningOpen-source contributionsBackground in roboticsEffective communicationCollaborative team player

Required

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

Strong coding skills in C++ and Python with a focus on performance and scalability

Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM

Familiarity with CUDA programming and parallel computing principles

Solid understanding of model inference workflows and system-level performance tuning

Experience in quantization-aware training or post-training quantization

Effective communicator and collaborative team player

Preferred

Hands-on experience with deploying vision-language or large multimodal models

Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization

Experience in autonomous driving, robotics, or edge AI applications

Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR)

Background in system profiling, latency modeling, or compiler-level optimization

Benefits

A fun, supportive and engaging environment

Infrastructures and computational resources to support your work

Opportunity to work on cutting edge technologies with the top talents in the field

Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving

Competitive compensation package

Snacks, lunches, dinners, and fun activities

Company

XPENG

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XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers.

Founded in 2014