Do you enjoy the process of learning everything about new hardware platforms and being one of the first people to make them operational in production? We are seeking a dedicated Cluster Deployment Operations Engineer to support product deployments and issues by collaborating with NVIDIA engineering and field organizations.

What you'll be doing:

• Playing an integral role in NVIDIA’s New Product Introduction (NPI) team, acting as the link between engineering and the NVIS field team for cluster deployment and management solutions! We bridge the gap between product roadmaps and real world deployments.

• Collaborating closely with engineering and product teams to review and influence design decisions for products centered around large-scale AI Factory deployments, tracking progress towards production across the product development lifecycle.

• Describing architectural and design changes, building clear and actionable tasks for the field, including standardized deployment guides, configuration methodologies, and validation workflows. Present regularly to the field to ensure organizational alignment.

• Validating complex cluster configurations for performance, scalability, and resilience, ensuring they meet the requirements of real-world customer scenarios.

• Supporting NVIDIA's mission by ensuring our breakthrough technologies are successfully deployed for global customers by both NVIDIA and our OEM partners.

What we need to see:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• 10+ years of experience in at least two of the following: HPC/large-scale cluster administration, Linux systems engineering, infrastructure automation (e.g., Ansible, Salt), or data center operations.

• 5+ years of direct, hands-on experience provisioning, managing, and optimizing bare-metal clusters using NVIDIA Base Command Manager (BCM) or similar technology (e.g. proprietary Cloud Service Provider tools, Warewulf, xCAT).

• Expert knowledge of how Slurm and Kubernetes are best deployed, managed, and used, including workload submission and resource management.

• Proficiency in Python and Bash scripting for automation, cluster validation, and workflow optimization.

• Hands-on experience using cluster telemetry and dashboard tools to assess HPC and AI clusters (e.g., Prometheus, Grafana, DCGM, and similar observability stacks).

• Outstanding written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical collaborators.

• A customer-first attitude, self-motivation, and a proactive approach to leadership in diverse environments.

Ways to stand out from the crowd:

• Proficiency with cluster networking including Infini Band and Spectrum-X.

• Experience with NVIDIA Mission Control, NVIDIA's AI Factory management platform.

• Familiarity with CI/CD workflows in an infrastructure context, including tools such as Git, GitLab, and Jenkins.

• Any experience with large language models (LLMs) as part of a software development or content creation workflow - we rely heavily on LLMs to accelerate content delivery.

• Background in Professional Services, customer-facing deployment, and solutions optimization. We value when members of the NPI team have experienced the complexities that our field teams encounter every day as well as industry certifications such as CKA/CKAD (Certified Kubernetes Administrator/Developer), RHCE, or other industry-recognized Linux/HPC credentials.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.