NVIDIA

Senior HPC Performance Engineer

Germany

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, High Performance Computing, Artificial Intelligence, VisualizationIndustries

Requirements

Candidates should possess a Master’s degree (or equivalent experience) in Computer Science or a related field, along with a minimum of 3 years of experience in performance engineering and HPC, including relevant experience with parallel programming and at least one communication runtime such as MPI, NCCL, UCX, or NVSHMEM. Strong understanding of computer system architecture, HW-SW interactions, and operating systems principles is required, as well as proficiency in C/C++ and scripting languages like Python. Familiarity with containers, cloud provisioning, and scheduling tools is also desired.

Responsibilities

The Senior HPC Performance Engineer will conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters, evaluate proof-of-concepts, and perform trade-off analysis. They will triage and root-cause performance issues reported by customers, collect performance data, build tools and infrastructure for analysis, and collaborate with a dynamic team to contribute to the development of innovative technologies and help realize NVIDIA’s vision.

Skills

High Performance Computing
GPU Performance Analysis
Multi-GPU and Multi-Node Clusters
Hardware Interaction (GPU, CPU, Networking)
Performance Characterization
Troubleshooting Performance Issues
Data Visualization and Analysis
Performance Tool Development

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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