Systems/GPU Research Engineer
Vast.ai
Systems/GPU Research Engineer
Vast.ai
GPU marketplace enabling cost-effective AI compute
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.
As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance tensor libraries and auto-optimization tools. Collaborating directly with our technical founder and diverse team, you will enhance the performance and efficiency of our AI systems. Your ability to research and stay on top of cutting-edge papers will be vital in staying up-to-date with the latest advancements in AI model inference and GPU programming techniques.
Full-Time
On-site at either our SF or LA offices
C++/CUDA, GPGPU, Python, Linux
Expertise in systems engineering across the tech stack
Deep understanding of GPU architectures
Strong holistic background in neural network performance and tooling
Published research at top AI conferences
Develop or extend parallel generic GPU libraries and kernels
Help design and deploy market-based resource management systems
Quickly investigate and summarize options for new system architectures
Prototype and evaluate novel state-of-the-art methods/models
Investigate and learn new frameworks and tools
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.
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
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.
Explore more opportunities at Vast.ai