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 growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the RoleWe’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
Key ResponsibilitiesDesign 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:
15 min - Initial screening (virtual)
45 min - Quick dive into Vast, work history (virtual)
45 min - Systems and architectures (virtual)
1 hour - LLM-assisted coding assessment (virtual)
2 hours - Meet and greet with coding assessment (on-site)
Our goal is to complete the interview process in two weeks.
BenefitsComprehensive 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
Skills Required
- Advanced C++ experience, preferably with C++17 or C++20
- Expertise with at least one parallel programming framework, such as CUDA, HIP, SYCL, OpenCL, or OpenACC
- Strong background in systems optimization and HPC performance tooling
- Familiarity with distributed training or inference frameworks
What We Do
Vast.ai is the market leader for low cost GPU rentals. The service connects data centers and professionals running the Vast hosting software with users who can quickly find the best deals for compute according to their specific requirements. Vast.ai GPU rentals are ~3-5X cheaper than current alternatives. Consumer computers and consumer GPUs in particular are considerably more cost effective than equivalent enterprise hardware. We are helping the millions of underutilized consumer GPUs around the world enter the cloud computing market for the first time.
