SystemsGPU Engineer
SystemsGPU Engineer
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Job Description
About Us
Vast.ais cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computingreshaping 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 companys 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: Onsite at our office in San Francisco or Westwood Los Angeles.
About the Role
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 highperformance tensor libraries and autooptimization 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 cuttingedge papers will be vital in staying uptodate with the latest advancements in AI model inference and GPU programming techniques.
- FullTime
- Onsite at either our SF or LA offices
Tech Stack
Python C/CUDA GPGPU Linux
Ideal Experience
- 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
Key Responsibilities
- Develop or extend parallel generic GPU libraries and kernels
- Help design and deploy marketbased resource management systems
- Quickly investigate and summarize options for new system architectures
- Prototype and evaluate novel stateoftheart methods/models
- Investigate and learn new frameworks and tools
Interview Process
After submitting your application our technical team reviews your credentials. If selected youll proceed through the following stages:
- Initial screening (virtual 15 minutes)
- Quick dive into Vast systems and architectures (virtual 30 minutes)
- LLMassisted coding assessment (virtual 1 hour)
- Meet and greet with coding assessment (onsite 2 hours)
Our goal is to complete the interview process in two weeks.
Annual Salary Range
$160000 $320000 equity benefits
Vast.ai is hiring across all experience levels with compensation commensurate with background experience and potential.
Employment Type
Full Time
