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Senior Software Architect

1 month ago

Austin, Texas, United States NVIDIA Full time
About NVIDIA

NVIDIA is a leader in the development of groundbreaking technologies in Artificial Intelligence, High Performance Computing, and Visualization.

Our work enables the creation of new universes to explore, facilitates groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence and autonomous cars.

Job Summary

We are seeking a Senior Software Architect to join our GPU Communications Libraries and Networking team at NVIDIA. As a key member of our team, you will help co-design next-gen data center platforms and scalable communications software.

Our team builds communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. You will investigate opportunities to improve communication performance by identifying bottlenecks in today's systems, design and implement new communication technologies to accelerate AI and HPC workloads, and explore innovative solutions in HW and SW for our next generation platforms.

Responsibilities
  1. Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
  2. Design and implement new communication technologies to accelerate AI and HPC workloads.
  3. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
  4. Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.
  5. Use simulation to explore performance of large GPU clusters.
Requirements
  1. M.S./Ph.D. degree in CS/CE or equivalent experience.
  2. 5+ years of relevant experience.
  3. Excellent C/C++ programming and debugging skills.
  4. Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
  5. Deep understanding of operating systems, computer and system architecture.
  6. Solid knowledge of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
  7. Strong experience with Linux.
  8. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Preferred Qualifications
  1. Expertise in related technology and passion for what you do.
  2. Experience with CUDA programming and NVIDIA GPUs.
  3. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.
  4. Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc.
  5. Knowledge of deep learning parallelisms and mapping to the communication subsystem.
  6. Experience with HPC applications.
What We Offer

NVIDIA offers a competitive salary range of $180,000 - $339,250 USD, based on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.