Principal Software Engineer, Inference

Hewlett Packard Enterprise

Durham (NC)

Presencial

USD 180.000 - 240.000

Jornada completa

14 días+

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Health & Wellbeing
Personal & Professional Development

Descripción de la vacante

Hewlett Packard Enterprise seeks a senior architect to define and own the technical architecture for LLM inference runtimes, focusing on execution efficiency and distributed inferencing strategies on customer-owned hardware. You will lead design reviews and mentor engineers.

You will collaborate with performance teams to optimize latency and throughput, apply continuous batching, and advance GPU memory management and inference internals in a fast-paced AI systems environment.

Formación

  • Requires at least 12 years of software engineering experience with a minimum of 1 year working directly on LLM inference runtimes.
  • Candidates must possess expert-level proficiency in Kubernetes, Python, Go, and deep knowledge of GPU memory hierarchies and inference internals.

Responsabilidades

  • Define and own the technical architecture for LLM inference runtimes.
  • Lead design reviews, mentor engineers, and partner with performance teams to optimize latency and throughput on customer-owned hardware.

Conocimientos

LLM Inference
Kubernetes
Python
Go
C++
CUDA
TensorRT-LLM
vLLM
Distributed Systems
GPU Optimization
Continuous Batching
KV Cache Management
Architecture Design
Performance Engineering
Machine Learning

Descripción del empleo

Define and own the technical architecture for LLM inference runtimes, focusing on execution efficiency and distributed inferencing strategies. Lead design reviews, mentor engineers, and partner with performance teams to optimize latency and throughput on customer-owned hardware.

Requirements

Requires at least 12 years of software engineering experience with a minimum of 1 year working directly on LLM inference runtimes. Candidates must possess expert-level proficiency in Kubernetes, Python, Go, and deep knowledge of GPU memory hierarchies and inference internals.

Key Skills
  • LLM Inference
  • Kubernetes
  • Python
  • Go
  • C++
  • CUDA
  • TensorRT-LLM
  • vLLM
  • Distributed Systems
  • GPU Optimization
  • Continuous Batching
  • KV Cache Management
  • Architecture Design
  • Performance Engineering
  • Machine Learning
Benefits
  • Health & Wellbeing
  • Personal & Professional Development
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