Senior Software Architect - Deep Learning and HPC Communications

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Job summary

NVIDIA Gruppe is seeking a Senior Software Architect in Santa Clara, California. This role involves co-designing next-generation data center platforms and developing scalable communications software to enhance Deep Learning and HPC applications.

Candidates should have extensive experience in C/C++ and a strong background in parallel programming as well as network architecture. The compensation range is competitive, with salaries up to 356,500 USD for senior levels, alongside equity and comprehensive benefits.

Qualifications

• 5+ years of relevant experience in software engineering.
• Deep understanding of operating systems and system architecture.
• Ability to work in a multi-national corporate environment.

Responsibilities

• Investigate and improve communication performance.
• Design and implement new communication technologies.
• Conduct experiments and performance modeling.

Skills

C/C++ programming

Parallel programming models (MPI, SHMEM)

Communication runtimes (MPI, NCCL, NVSHMEM)

Linux

Network architecture and algorithms

Education

M.S./Ph.D. in CS/CE or equivalent experience

Job description

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co‑design next‑gen data center platforms and scalable communications software.

DL and HPC applications have huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high‑speed interconnects (e.g. NVLink, PCIe) within a node and with high‑speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end‑to‑end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state‑of‑the‑art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?

What you will be doing:

• 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 our 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 1,000s of GPUs).

What we need to see:

• 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 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.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high‑performance networks like InfiniBand, RoCE, NVLink, etc.
• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.
• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi‑functional environment.

Compensation

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level4, and 224,000 USD - 356,500 USD for Level5.

You will also be eligible for equity and benefits.

Application Deadline

Applications for this job will be accepted at least until June1,2026.

Equal Opportunity Employment

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

This posting is for an existing vacancy.