GPU Systems Engineer – HPC / Parallel Computing

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.

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

CUDA/C++, GPGPU, Python, Linux

• 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

• 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)

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)

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

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

• 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