Distinguished Software Architect - Deep Learning and HPC Communications at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance ComputingIndustries

Requirements

PhD in Computer Science, Computer Engineering, or a related field, or strong equivalent experience
15+ years of relevant experience in academia or the industry
Expertise in HPC (High Performance Computing)
Expertise in parallel programming models (MPI, SHMEM)
Expertise in at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC)
Expertise in computer and system architecture
Expertise in GPU architecture and CUDA
Deep understanding of high-performance networking technologies (Infiniband, Ethernet), network design, and network topologies
Experience with network debug and performance analysis

Responsibilities

Research new communication technologies (e.g., expand the GPUDirect technology portfolio) and design new features for communication libraries
Propose innovative solutions in hardware and software for next-generation platforms
Co-design solutions with GPU, Networking, and SW architects, ensuring seamless integration with software stacks
Inspire changes based on quantitative data from proof-of-concepts and technical analysis/modeling
Drive the adoption of new communication technologies across application verticals
Keep up with the latest DL research and collaborate with diverse teams (internal and external), including DL researchers and customers

Skills

Key technologies and capabilities for this role

HPCMPISHMEMNCCLNVSHMEMOpenSHMEMUCXUCCCUDAGPU architectureInfinibandEthernetGPUDirectnetwork debugperformance analysis

Questions & Answers

Common questions about this position

What is the salary for this Distinguished Software Architect position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

This is a hybrid position.

What key skills and experience are required for this role?

Candidates need a PhD in Computer Science or related field (or equivalent), 15+ years of relevant experience, expertise in HPC, parallel programming models like MPI and SHMEM, communication runtimes such as NCCL or UCX, GPU architecture and CUDA, plus deep knowledge of high-performance networking like Infiniband.

What is the team and work environment like at NVIDIA for this role?

You'll join the GPU Communications Libraries and Networking team, collaborating with GPU, Networking, and SW architects, as well as diverse internal and external teams including DL researchers and customers, to design next-generation data center platforms.

What makes a strong candidate for this Distinguished Software Architect role?

A strong candidate has a PhD or equivalent, 15+ years in HPC or industry, hands-on expertise in communication libraries like NCCL and NVSHMEM, GPU/CUDA knowledge, and deep networking experience, with the ability to innovate and drive new technologies.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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