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Senior Staff Machine Learning Performance Engineer at XPENG - ApplyBlast

Senior Staff Machine Learning Performance Engineer

XPENG

3 days ago

3.3 on Glassdoor

Santa Clara, California, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The Senior Staff Machine Learning Performance Engineer at XPENG leads the optimization of training performance for foundation models across thousands of accelerators, focusing on scaling efficiency and long-run stability. This role involves cross-team technical leadership to address performance bottlenecks and develop reusable, modular components for various workloads. The position also emphasizes building agentic automation to identify and fix regressions, ensuring rapid learning and innovation in autonomous driving and robotics.

Responsibilities

Own training performance and scaling efficiency for foundation-model training across thousands of accelerators
Lead cross-team technical initiatives to diagnose and resolve performance bottlenecks in production workloads
Build agentic automation tools to reproduce jobs, verify numerical parity, and optimize engineering workflows

Skills

Qualifications

Master's degreePhD

About XPENG

xpeng.com

Headquarters

Guangzhou, Guangdong, China

Company Size

10001+ employees

Founded

2014

View Profile

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.