GPU Networking Engineer for Distributed Inference & RDMA

The Consensus

New York (NY)

Presencial

USD 120.000 - 160.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation, including equity
100% medical, dental, and vision insurance
Flexible PTO policy
Paid parental leave
Fertility and family-building stipend
Company-facilitated 401(k)

Descripción de la vacante

The Consensus is seeking experienced foundational engineers to optimize networking in AI infrastructures. You will play a crucial role in integrating and improving high-performance networking technologies to enhance distributed AI capabilities.

The role demands deep technical expertise in C++ or Python, a grasp on high-performance networking protocols, and the ability to optimize models for unprecedented performance metrics. Join a pioneering team in shaping the future of AI technology.

Formación

  • Deep experience with high-performance networking protocols (InfiniBand, RoCE v2) required.
  • Fluency in C++ or Python with a deep understanding of modern NVIDIA architectures.
  • Ability to debug NVLink topology issues and customize solutions.

Responsabilidades

  • Integrate RDMA/RoCE/InfiniBand capabilities into the inference stack.
  • Optimize distributed inference for efficient communication across models.
  • Design tools for visualizing packet flow and effective bandwidth.

Conocimientos

High-performance networking protocols
C++ or Python
Memory hierarchy optimization
Custom communication kernels

Herramientas

NCCL
NVSHMEM
TensorRT-LLM
GPUDirect Storage

Descripción del empleo

The Consensus is seeking experienced foundational engineers to optimize networking in AI infrastructures. You will play a crucial role in integrating and improving high-performance networking technologies to enhance distributed AI capabilities.

The role demands deep technical expertise in C++ or Python, a grasp on high-performance networking protocols, and the ability to optimize models for unprecedented performance metrics. Join a pioneering team in shaping the future of AI technology.

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