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AI role · Open offer

Senior ML Engineer — autonomous driving

XPeng

Full-time
Senior
XPILOT perception
Hybrid
15 KaiDa Er Lu, Huangpu, Guangzhou 510530, China · Hybrid
Guangzhou, China
CNY 400k–650k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 15 KaiDa Er Lu, Huangpu, Guangzhou 510530, China · Hybrid
Compensation: CNY 400k–650k/year + equity
Experience level: Senior
Team: XPILOT perception
Benefits & perks: Equity, hybrid Huangpu, EV perks.
How to apply: Perception, planning ML, or simulation with on-road metrics.
Company site: www.xpeng.com
Listed: Jul 28, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

XPeng is hiring a Senior Senior ML Engineer — autonomous driving on the XPILOT perception team (Hybrid · Guangzhou, China). This is a hands-on role in computer vision & geospatial AI—not a generic “AI enthusiast” post.

You will own vision, sensor, or geospatial models in production end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

XPeng is a leading Chinese smart EV maker — XPILOT autonomous driving and in-cabin AI from Guangzhou Huangpu.

Senior ML Engineer (hybrid Guangzhou): perception, prediction, and simulation ML for production ADAS stacks.

About XPeng

NYSE-listed EV innovator with R&D center in Guangzhou.
Fleet data from millions of kilometers drives model iteration.
Tight integration between cloud training and edge Orin deploys.

What you will do

Train vision transformers on multi-camera fused datasets.
Close sim-to-real gaps with synthetic data pipelines.
Meet automotive functional-safety collaboration requirements.

Stack & environment

Python, PyTorch, CUDA, C++, internal sim platform.
Hybrid Huangpu; Mandarin required.

What we look for

5+ years CV/ML in automotive or robotics.
Eligible to work in mainland China.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
C++
Practical C++ experience applied to vision, sensor, or geospatial models in production in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
CUDATool
Regular use of CUDA in the computer vision & geospatial AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Perception, planning ML, or simulation with on-road metrics.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, C++, and Docker.
You have owned vision, sensor, or geospatial models in production in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Guangzhou, China)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: CNY 400k–650k/year + equity, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Perception, planning ML, or simulation with on-road metrics.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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Senior ML Engineer — autonomous driving

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