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Vast.ai

GPU marketplace enabling cost-effective AI compute

GPU Systems Engineer - HPC / Parallel Computing

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Advanced C++ skills; C++17/20 preferred.
  • Expertise with at least one parallel framework, such as CUDA, HIP, SYCL, OpenCL, or OpenACC.
  • Strong background in systems optimization and high-performance computing performance tooling.
  • Experience with high-performance computing or parallel programming.
  • Familiarity with distributed training or inference frameworks is a bonus.

Responsibilities

  • Design and optimize GPU kernels and tensor libraries.
  • Translate high-performance computing techniques into scalable AI inference solutions.
  • Evaluate emerging architectures and resource management approaches.
  • Collaborate with technical leadership to improve GPU infrastructure efficiency.

Desired Qualifications

  • C++17/20 experience is preferred.
  • Familiarity with distributed training or inference frameworks.

About the Company

Vast.ai

GPU marketplace enabling cost-effective AI compute

Vast.ai runs a marketplace that connects GPU owners with users who need high-performance computing for AI and machine learning. Users browse available hardware, compare performance using the DLPerf scoring function, and rent compute through interruptible instances and spot auctions to save money. The platform aggregates offerings from individuals, data centers, and large providers, enabling a diverse, competitive marketplace while prioritizing security and regulatory compliance. This approach lets customers choose hardware that matches their needs and budget, rather than sticking to traditional cloud providers. Vast.ai’s goal is to make AI development more accessible and to improve the utilization of existing computing resources, contributing to cost efficiency and sustainability in tech.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Los Angeles, CA
Founded
2018

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