Senior Software Architect, AI and HPC at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPCIndustries

Requirements

Ph.D. or Master's in computer science, computer engineering, or a closely related field, or equivalent experience
5+ years of experience in parallel programming models and/or network architecture
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment
Deep understanding of technology and passion for what you do
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Responsibilities

Creating proofs-of-concept to evaluate and motivate extensions in AI Frameworks (PyTorch/NEMO), HPC programming models (MPI, OpenSHMEM, PGAS), new runtime designs, and new network hardware features
Research, design, and implement features for AI and HPC communication middleware (NCCL, Open MPI, UCX, UCC, NVSHMEM), and Deep Learning frameworks such as TensorFlow/PyTorch
Review, design, and implement features to enhance compiler features to support the NVIDIA networking ecosystem
Research, design, and develop hardware features relevant to scientific, Deep Learning, and data-intensive workloads

Skills

Key technologies and capabilities for this role

PyTorchNEMOMPIOpenSHMEMPGASNCCLOpen MPIUCXUCCNVSHMEMTensorFlow

Questions & Answers

Common questions about this position

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

A Ph.D. or Master's in computer science, computer engineering, or a related field (or equivalent experience) is required, along with 5+ years of experience in parallel programming models and/or network architecture.

What are the top skills needed for this position?

Key skills include background in algorithm design, system programming, and computer architecture, strong programming and software development skills, and deep understanding of technology.

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with experience in designing communication middleware for HPC (InfiniBand, DPUs, Ethernet, Shared Memory), developing compiler features (Clang/LLVM, NVIDIA compilers), implementing communications libraries (MPI, NCCL, NVSHMEM), CUDA programming, and programming models for emerging architectures.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free