HPC and AI Software Architect at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Junior (1 to 2 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Engineering, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

C++PythonCUDAPyTorchTensorFlowNCCLUCXUCCDistributed ComputingParallel ComputingHigh-Performance Data Movement

Questions & Answers

Common questions about this position

What is the salary for this HPC and AI Software Architect position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this software architect role?

Required skills include a Ph.D. or equivalent in computer science or related field, 2+ years in systems programming or distributed computing, strong C++ and Python programming, experience with AI frameworks like PyTorch or TensorFlow, and systems design for high-throughput low-latency systems.

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

The role involves strong collaboration skills in a multi-national, interdisciplinary environment.

How can I stand out as a candidate for this position?

Stand out with expertise in NCCL, Gloo, UCX or similar libraries, background in networking protocols like RDMA, deep understanding of large model training and inference bottlenecks, knowledge of optimization techniques like quantization, and familiarity with LLM deployment infrastructure.

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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