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Senior Software Architect - Deep Learning and HPC Communications

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / US-Remote with potential onsite), Santa Clara, CA, Austin, TX, Westford, MA, Durham, NC$184k - $287.5kFull-timePosted 7mo ago

About the role

Senior role focused on co-designing next-generation data center platforms and scalable communication software (NCCL, NVSHMEM, UCX) for AI and HPC workloads. Involves investigating bottlenecks, designing/implementing new communication technologies, HW/SW co-design, proofs-of-concept, experiments, and performance modeling for large GPU clusters.

Responsibilities

  • 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.
  • Explore innovative solutions in HW and SW for next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
  • Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.
  • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

Qualifications

  • M.S./Ph.D. degree in CS/CE or equivalent experience.
  • 5+ years of relevant experience.
  • Excellent C/C++ programming and debugging skills.
  • Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).
  • Deep understanding of operating systems, computer and system architecture.
  • Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.
  • Strong experience with Linux.
  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Skills

Required:C/C++ programmingParallel programmingOperating systems and architectureLinux

Benefits

  • equity
  • benefits (see company page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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