Senior High-Performance AI Training Engineer

at Nvidia

📍 Santa Clara, United States

$180,000-339,200 per year

SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 4

Details

NVIDIA is seeking senior engineers who are obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.

Responsibilities

  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
  • Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
  • Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
  • Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
  • Build tools to automate workload analysis, workload optimization, and other critical workflows.

Requirements

  • PhD in CS, EE or CSEE and 5+ years; or MS (or equivalent experience) and 8+ years of relevant meaningful work experience.
  • Strong background in deep learning and neural networks, in particular training.
  • Strong background in computer architecture and familiarity with the fundamentals of GPU architecture.
  • Proven experience analyzing and tuning application performance, as well as experience with processor and system-level performance modelling.
  • Programming skills in C++, Python, and CUDA.

Benefits

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you!