At a Glance
- Tasks: Design and maintain cutting-edge HPC/AI clusters while automating deployment processes.
- Company: Join NVIDIA, a leader in AI and GPU computing innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with top scientists and engineers in a dynamic environment.
- Why this job: Be at the forefront of technology, driving advancements in supercomputing and AI.
- Qualifications: 5+ years in HPC/AI with strong programming and networking skills.
The predicted salary is between 60000 - 80000 £ per year.
NVIDIA is looking for an experienced HPC Dev Ops and Network Engineer to help us build the supercomputers and HPC clusters of the future.
As a Senior HPC Dev Ops Engineer, you’ll be a key player in groundbreaking advancements in artificial intelligence and GPU computing.
Your expertise will drive the latest breakthroughs, providing insights on at‑scale system design and tuning mechanisms for large‑scale compute runs.
You will work with the latest accelerated computing and deep learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
You will interact with HPC, OS, GPU compute, and systems specialists to architect, develop and bring up large‑scale performance platforms.
- What You’ll Be Doing
- Innovate and Implement: Design, implement, and maintain large‑scale HPC/AI clusters with state‑of‑the‑art monitoring, logging, and alerting systems.
- Infrastructure as Code (Ia C): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
- Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
- Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
- Develop complex Networking automations.
- Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
- Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
- Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.
- What We Need To See
- B. Sc. in Computer Science, Engineering, or a related field with 5+ years of experience.
- Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high‑speed interconnects, and supporting software.
- Advanced proficiency in programming and scripting languages, with a solid understanding of object‑oriented programming principles.
- Familiarity with Jenkins, Ansible, Puppet/Chef.
- Excellent knowledge of Windows and Linux (Redhat/Cent OS and Ubuntu), networking and OS‑level security.
- Deep understanding of networking protocols such as Infini Band and Ethernet.
- Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.
- Background with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.
- Expertise with virtual systems (VMware, Hyper‑V, KVM, Citrix).
- Familiarity with cloud platforms (AWS, Azure, Google Cloud).
- Ways To Stand Out From The Crowd
- Proven networking experience or strong knowledge through professional networking training.
- Architectural Insight: Knowledge of CPU and/or GPU architecture.
- Container Expertise: Understanding of Kubernetes and container‐related microservice technologies.
- GPU Focus: Experience with GPU‑focused hardware/software (DGX, CUDA).
- RDMA Fabrics: Background with RDMA (Infini Band or Ro CE) fabrics.
At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
We provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
Join us and be part of a team that’s pushing the boundaries of technology and making a real impact in the world.
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Senior HPC DevOps Engineer employer: NVIDIA AI
NVIDIA AI in Fisherton de la Mere is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement in the cutting-edge field of AI and GPU technologies. Join us to be part of a leading tech environment where your contributions will make a meaningful impact.
