Systems/GPU Research Engineer
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 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. 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.
Requirements
- 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
- C++/CUDA
- GPGPU
- Python
- Linux
Responsibilities
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
