Principal Developer, AI Networking

NVIDIA Ltd.
Santa Clara, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 272K

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Bash
C++
Profiling
Nvidia CUDA
Computer Programming
Software Debugging
Microprocessors
Distributed Systems
Integrated Development Environments
Python
Remote Direct Memory Access
TensorFlow
Software Engineering
Supercomputing
Graphics Processing Unit (GPU)
PyTorch
Large Language Models
Deep Learning
Information Technology

Job description

  • Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems with a focus on high-performance networking and NVIDIA communication libraries.
  • Benchmarking, profiling, and analyzing the performance to find bottlenecks and identify areas for improvement and optimizations, with a strong emphasis on networking aspects.
  • Developing PyTorch trace-based profiling, analysis, and replaying toolset to aid in benchmarking, debugging, and co-designing network systems for LLM workloads.
  • Collaborating with multiple teams from hardware to software to provide performance analysis insights.
  • Defining performance test plans, setting performance expectations for new technologies and solutions, and working to achieve performance targets.

Requirements

  • B.Sc in Computer Science or Software Engineering or equivalent experience.
  • 15+ years of experience with high-performance networking (RDMA, MPI, NCCL, SHARP).
  • Demonstrated ability in performance evaluation techniques and approaches.
  • Experience with NVIDIA GPUs and the CUDA library. Knowledge of deep learning frameworks like TensorFlow or PyTorch. Expertise in networking collective communication libraries such as NCCL and protocols like RoCE and RDMA.
  • Fast and self-learning capabilities with strong analytical and problem-solving skills.
  • Proficiency in programming languages: Python, Bash, and C++.
  • Experience with a container-based development environment.
  • Great teammate who communicates clearly and works well with others.

Ways to stand out from the crowd:

  • Extensive understanding and hands-on experience with AI workloads and benchmarking for distributed LLM training.
  • Knowledge in PyTorch, CUDA, and NCCL libraries.
  • Comprehensive system knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI).
  • Strong capabilities in performance evaluation and methods using contemporary tools.

Benefits & conditions

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 6, and 320,000 USD - 488,750 USD for Level 7.

You will also be eligible for equity and benefits .

About the company

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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