Job Details

GPU Systems Engineer - HPC / Parallel Computing

  2025-09-02     vast     San Francisco,CA  
Description:

About Us

Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity.

We are a small, growing, and highly motivated team dedicated to an ambitious technical plan. We operate with a flat mobile organizational structure where all contribute directly to the company's mission. Leadership is earned by those who show initiative and deliver excellence.

We seek engineers/researchers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of excellent research, coding, and communication skills.

LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the Role

We're looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You'll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.

  • Full-Time
  • On-site at either our SF or LA offices
Tech Stack

CUDA/C++, GPGPU, Python, Linux
Key Responsibilities
  • Design and optimize GPU kernels and tensor libraries
  • Translate HPC techniques into scalable AI inference solutions
  • Evaluate emerging architectures and resource management approaches
  • Collaborate with technical leadership to improve GPU infrastructure efficiency
Ideal Experience
  • Advanced C++ (C++17/20 preferred)
  • Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
  • Strong background in systems optimization and HPC performance tooling
  • Familiarity with distributed training/inference frameworks (bonus)
Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:
  • Initial screening (virtual, 15 minutes)
  • Quick dive into Vast, systems and architectures (virtual, 30 minutes)
  • LLM-assisted coding assessment (virtual, 1 hour)
  • Meet and greet with coding assessment (on-site, 2 hours)
Our goal is to complete the interview process in two weeks.
Annual Salary Range

$160,000 - $320,000 + equity + benefits

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.
Benefits
  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded


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