NVIDIA

Distinguished Software Architect - Deep Learning and HPC Communications

Germany

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Candidates should possess a PhD in Computer Science, Computer Engineering, or a related field, or demonstrate equivalent experience with 15+ years in the industry. Expertise in HPC, parallel programming models (MPI, SHMEM), and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC) is required, along with a deep understanding of computer and system architecture, GPU architecture, and CUDA. Programming fluency in C or C++ for systems software development is also necessary.

Responsibilities

The Distinguished Software Architect will research new communication technologies, propose innovative solutions for next-generation platforms, co-design these solutions with various teams, inspire changes based on data analysis, drive the adoption of new technologies, and keep up with the latest DL research while collaborating with diverse teams and customers. They will also contribute to the development of innovative technologies and help realize NVIDIA’s vision.

Skills

GPU Communication
Deep Learning
High Performance Computing
NCCL
NVSHMEM
GPUDirect
Interconnect Technologies (NVLink, PCIe, Infiniband, Ethernet)
Hardware-Software Co-design
Communication Libraries
Networking

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.

Key Metrics

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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