NVIDIA
Senior Software Architect - Deep Learning and HPC Communications
NVIDIA, Westford, Massachusetts, us, 01886
Senior Software Architect - Deep Learning and HPC Communications
NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU serves as the visual cortex of modern computers and is at the heart of our products and services. We build communication libraries like NCCL, NVSHMEM, and UCX that scale Deep Learning and HPC. We’re seeking a Senior Software Architect to co-design next‑gen data center platforms and scalable communications software.
Overview 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 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 1000s 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.
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 Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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.
JR2001099
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
#J-18808-Ljbffr
Overview 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 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 1000s 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.
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 Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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.
JR2001099
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
#J-18808-Ljbffr