Senior HPC DevOps Engineer

Germany

Apply with AI Apply

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, GPU Computing, High-Performance Computing (HPC)Industries

Requirements

Candidates must possess a Bachelor of Science degree in Computer Science, Engineering, or a related field, coupled with over 5 years of experience. A deep understanding of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software, is essential. Advanced proficiency in programming and scripting languages, with a solid grasp of object-oriented programming principles, is required. Familiarity with Jenkins, Ansible, Puppet/Chef, Windows and Linux operating systems (Redhat/CentOS and Ubuntu), networking, and OS-level security is necessary. A deep understanding of networking protocols like InfiniBand and Ethernet, experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes, and experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS are crucial. Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix) and familiarity with cloud platforms (AWS, Azure, Google Cloud) are also required. Knowledge of CPU and/or GPU architecture, Kubernetes and container-related microservice technologies, GPU-focused hardware/software (DGX, CUDA), and RDMA (InfiniBand or RoCE) fabrics are advantageous.

Responsibilities

The Senior HPC DevOps Engineer will design, implement, and maintain large-scale HPC/AI clusters with advanced monitoring, logging, and alerting systems. They will utilize and develop tools for infrastructure as code to ensure scalable and repeatable deployments. Responsibilities include developing and maintaining CI/CD pipelines to automate deployment processes, creating automation scripts and tools for deployment, configuration management, and operational monitoring, and deploying advanced monitoring solutions for servers, networks, and storage. The role involves performing comprehensive troubleshooting from bare metal to application level, serving as a technical resource to develop and share best practices, and supporting R&D activities and engaging in proof of concepts for future improvements.

Skills

HPC

DevOps

GPU Computing

System Design

Monitoring

Logging

Alerting

Infrastructure as Code (IaC)

CI/CD

Automation

Configuration Management

Troubleshooting

Deep Learning

Accelerated Computing

Linux

Scripting

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.

Land your dream remote job 3x faster with AI

Try Jobo Free