GPU Systems Engineer – HPC / Parallel Computing

Vast.ai • San Francisco, CA

115d • $160,000 - $320,000

About The Position

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. 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.

Requirements

• 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

Nice To Haves

• Familiarity with distributed training/inference frameworks (bonus)

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 11-50 employees