Systems/GPU Research Engineer

VAST, INC.
San Francisco, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$160,000.0 - $320,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Systems Engineering Artificial Neural Networks C++ (Programming Language) Program Optimization Nvidia CUDA Linux General-Purpose Computing on Graphics Processing Units Python (Programming Language) Gpu Programming

Job description

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. Tech stack: C++/CUDA, GPGPU, Python, Linux., * 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

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

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Life insurance, * 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

Compensation Range: $160K - $320K

Apply for this position

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Good distractions

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