Senior Systems Software Engineer, Data Center Infrastructure Management - EngOps

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

Join our team of innovative engineers who develop and maintain software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning. We are seeking a highly motivated EngOps Engineer (5+ years of experience) to join our advanced infrastructure software team. In this role, you will be responsible for maintaining high-performance, rack-scale management solutions for datacenter environments. You will work directly with our Infrastructure Service software development team to support deployment and debug of our hardware and Infrastructure Manager.

What you’ll be doing:

• Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance.

• Manage updates to the site controller management nodes.

• Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions.

What we need to see:

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.

• 5+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure.

• Experience with deployment and configuration of operating systems, computer networks, and high-performance applications.

• Proven ability to work effectively with developers and test engineers across different teams and time zones.

• Experience deploying services in Kubernetes.

• Datacenter or computer architecture experience is required—you should understand server, rack, and network topologies, as well as hardware/firmware/software interactions.

• Background with hardware management protocols (Redfish, IPMI, BMC) and firmware update automation.

• Experience configuring and debugging complex data center networks.

• Experience developing scripts to automate recovery actions for management controllers and datacenter systems.

Ways to stand out from the crowd:

• Direct experience with industry standard alerting tools and emergency response practices. Experience with observability tools such as Grafana.

• Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters.

• Proficiency in designing large scale networking technologies and the associated challenges. Experience with OpenStack and Foreman

NVIDIA is often recognized as one of the technology industry's most esteemed employers. We have some of the brightest and most driven individuals in the world working with us. If you are a self-motivated and imaginative individual, we encourage you to apply!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.Applications for this job will be accepted at least until May 1, 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.