Staff AI Transformation Engineer: LLMs, Infra & Platform Lead

DiDi

San Jose (CA)

In loco

USD 255.000 - 351.000

Tempo pieno

13 giorni fa
Generatore di candidature

Una candidatura su misura per questa offerta di lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

DiDi Autonomous Driving seeks a visionary Staff or Principal AI Transformation Engineer to lead company-wide AI transformation, blending LLM expertise with robust systems architecture and enterprise-scale AI scaling.

You will embed with core engineering teams to evolve the traditional R&D organization into an AI-native powerhouse, delivering an architectural platform spanning data processing, model training, inference, and evaluation with emphasis on latency and scalable GPU pipelines.

Competenze

  • Architectural vision with hands-on execution; design complex, system-level architectures while writing core code.
  • Proficiency in core languages (C++, Python, Java, JavaScript) and strong debugging/optimization skills.
  • Experience leading enterprise AI-native transformations or building AI/ML platforms at scale.
  • Deep hands-on experience with mainstream AI infrastructure tools and frameworks (PyTorch, Ray, vLLM, Triton, Kubernetes, DeepSpeed, Megatron-LM).
  • Years of deep experience in distributed LLM training/inference optimization and large-scale compute cluster ops.

Mansioni

  • Architect AI infrastructure and platform architecture spanning data processing, model training, inference, and evaluation.
  • Embed with core autonomous driving teams to translate AI capabilities into production-ready ecosystems (AI DevOps, AI Copilots).
  • Design and implement scalable LLM deployment pipelines, monitoring, and feedback loops to maximize throughput.
  • Maintain a strategic 1–3 year roadmap aligning external AI trends with internal systems.

Conoscenze

C++
Python
Java
JavaScript
Architectural Design
System-level Architecture
Code Debugging
Low-level Optimization
AI DevOps
AI Copilots
Distributed Systems
PyTorch
Kubernetes
Ray
vLLM
Triton
DeepSpeed
Megatron-LM

Strumenti

PyTorch
Ray
vLLM
Triton Inference Server
Kubernetes
DeepSpeed
Megatron-LM

Descrizione del lavoro

DiDi Autonomous Driving seeks a visionary Staff or Principal AI Transformation Engineer to lead company-wide AI transformation, blending LLM expertise with robust systems architecture and enterprise-scale AI scaling.

You will embed with core engineering teams to evolve the traditional R&D organization into an AI-native powerhouse, delivering an architectural platform spanning data processing, model training, inference, and evaluation with emphasis on latency and scalable GPU pipelines.

Ottieni la revisione del curriculum gratis e riservata.

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