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Rol IA · Oferta abierta
Senior ML Engineer — autonomous driving
XPeng
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
4 habilidades 2 herramientas
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Modalidad Hybrid
Ubicación 15 KaiDa Er Lu, Huangpu, Guangzhou 510530, China · Hybrid
Compensación CNY 400k–650k/year + equity Nivel de experiencia SeniorBeneficios Equity, hybrid Huangpu, EV perks. Cómo aplicar Perception, planning ML, or simulation with on-road metrics.
Publicada 15 dic 2026 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. 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.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
CUDA Tool
Regular use of CUDA in the computer vision & geospatial AI stack—configuration, debugging, and team conventions.
✓ 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. Lo que pide la empresa
Perception, planning ML, or simulation with on-road metrics.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Senior ML Engineer — autonomous driving
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
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