Senior HPC Performance Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, Artificial IntelligenceIndustries

Requirements

M.S. (or equivalent experience) or PhD in Computer Science, or related field
3+ years of experience with parallel programming
Experience with at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Experience conducting performance benchmarking and triage on large-scale HPC clusters
Good understanding of computer system architecture, HW-SW interactions, and operating systems principles
Proficiency in C/C++ and scripting languages (preferably Python)
Familiarity with containers, cloud provisioning, and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
Adaptability and passion to learn new areas and tools

Responsibilities

Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters
Study the interaction of communication libraries with all HW (GPU, CPU, Networking) and SW components in the stack
Evaluate proof-of-concepts and conduct trade-off analysis when multiple solutions are available
Triage and root-cause performance issues reported by customers
Collect performance data and build tools and infrastructure for visualization and analysis
Collaborate with a dynamic team across multiple time zones

Skills

Key technologies and capabilities for this role

C/C++PythonMPINCCLUCXNVSHMEMKubernetesSLURMAnsibleDockerHPCBenchmarking

Questions & Answers

Common questions about this position

What is the salary for the Senior HPC Performance Engineer position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

The position is hybrid.

What skills are required for this Senior HPC Performance Engineer role?

Required skills include 3+ years of parallel programming experience, proficiency in C/C++ and scripting languages like Python, experience with communication runtimes such as MPI, NCCL, UCX, or NVSHMEM, and performance benchmarking on large-scale HPC clusters.

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

You will collaborate with a dynamic team across multiple time zones.

What makes a strong candidate for this Senior HPC Performance Engineer position?

Strong candidates have an M.S. or PhD in Computer Science or related field, 3+ years of parallel programming experience, familiarity with communication runtimes and HPC benchmarking, plus adaptability and passion to learn new tools.

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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