[Remote] Senior HPC Performance Engineer at NVIDIA

Germany

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance Computing, Visualization, SemiconductorsIndustries

Skills

Key technologies and capabilities for this role

HPCPerformance EngineeringGPUDeep LearningNCCLNVSHMEMGPUDirectNVLinkPCIeInfinibandEthernetPerformance AnalysisRoot Cause AnalysisData VisualizationTool DevelopmentInfrastructure Development

Questions & Answers

Common questions about this position

What are the required qualifications for this Senior HPC Performance Engineer role?

Candidates need an M.S. (or equivalent experience) or Ph.D. in Computer Science or a related field, along with relevant performance engineering and HPC experience.

What key experiences are required for this position?

The role requires 3+ years of experience with parallel programming, experience with at least one communication runtime like MPI, NCCL, UCX, or NVSHMEM, and experience conducting performance benchmarking and triage on large-scale HPC clusters.

What technical skills are essential for this job?

Essential skills include a good understanding of computer system architecture, hardware-software interactions, and OS principles; ability to implement micro-benchmarks in C/C++; proficiency in debugging performance issues; and proficiency in a scripting language like Python.

What is the compensation like for this role at NVIDIA?

NVIDIA offers highly competitive salaries and an extensive benefits package.

What makes a candidate stand out for this Performance Engineer position?

Candidates stand out with practical experience with InfiniBand/Ethernet networks, experience debugging network issues in large-scale deployments, familiarity with CUDA programming and/or GPUs, and experience with Deep Learning Frameworks such as PyTorch or TensorFlow.

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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