Senior Software Architect - Deep Learning and HPC Communications at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance ComputingIndustries

Requirements

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

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 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)

Skills

Key technologies and capabilities for this role

Deep LearningHPCGPUNCCLNVSHMEMUCXNVLinkPCIeInfiniBandEthernetCommunication LibrariesNetworkingSoftware ArchitectureHW/SW Co-designPerformance Optimization

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Architect role?

An M.S./Ph.D. degree in CS/CE or equivalent experience is required, along with 5+ years of relevant experience.

What key technical skills are needed for this position?

Excellent C/C++ programming and debugging skills are required, along with experience in parallel programming models like MPI and SHMEM, and at least one communication runtime such as NCCL or UCX. A deep understanding of operating systems, computer architecture, network architecture, topology, algorithms, and communication scaling for AI and HPC workloads is also essential, plus strong Linux experience.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Software Architect position?

Candidates stand out with expertise in related technology and passion for the work, experience with CUDA programming and NVIDIA GPUs, and knowledge of high-performance networks like InfiniBand, RoCE, and NVLink.

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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