Senior HPC Performance Engineer

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

Requirements

Candidates should have a Master's degree or equivalent experience in Computer Science or a related field, with at least 3 years of experience in performance engineering and HPC. Required skills include parallel programming, experience with communication runtimes like MPI or NCCL, performance benchmarking on large HPC clusters, and a strong understanding of computer system architecture, hardware-software interactions, and operating systems principles. Proficiency in C/C++ for micro-benchmarks, Python for scripting, and familiarity with containerization and scheduling tools such as Kubernetes, SLURM, Ansible, and Docker are also necessary. Adaptability and a passion for learning new technologies are essential.

Responsibilities

The Senior HPC Performance Engineer will conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters, studying the interaction of communication libraries with hardware and software components. Responsibilities include evaluating proof-of-concepts, performing trade-off analysis, triaging and root-causing performance issues reported by customers, and collecting/visualizing performance data. The role also involves building tools and infrastructure for data analysis and collaborating with dynamic, cross-time zone teams.

Skills

HPC

Performance Engineering

GPU

Deep Learning

NCCL

NVSHMEM

GPUDirect

NVLink

PCIe

Infiniband

Ethernet

Performance Analysis

Root Cause Analysis

Data Visualization

Tool Development

Infrastructure 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.

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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