NVIDIA is looking for a senior software engineer to work on a private cloud system used for infrastructure services across multiple teams at NVIDIA. As a team we work with various groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, Autonomous Vehicles and Omniverse to cater to their various infrastructure needs. These cloud services will be scaled to run on thousands of servers and running millions of automated jobs per day helping with the efficiency of thousands of NVIDIA's software engineers worldwide. As part of these services, we host heterogeneous mix of machines with various operating systems (Windows/Linux/Android), multitude of hardware platforms (x86/ARM) having both NVIDIA GPUs and Tegra Processors.

Are you passionate about infrastructure and looking to solve complicated problems, ready to build the next generation of cloud services, craft innovative solutions with Kubernetes, applying artificial intelligence across on-premises and public cloud platforms we are ready to have you on board!

What you'll be doing:

• Craft creative scalable cloud solutions to scale to millions of jobs, thousands of systems and petabytes of storage.

• Address exciting problems in area of infrastructure such Kubernetes, job scheduling, multi-region services, resource management and automated recovery.

• Build observability solutions to measure and improve the availability, reliability and latency of the systems.

• Work with customers to understand their needs from the system and come up with innovative solutions.

What we need to see:

• Experience in development of scalable cloud infrastructure solutions from concept to production.

• Expertise in Kubernetes.

• Strong object-oriented programming background, Java or Go preferred.

• Ability to collaborate across multiple team and across people working in different time zones.

• Bachelors degree or equivalent experience.

• Strong software/hardware engineering background

• 5+ years of experience in infrastructure.

Ways to stand out from the crowd:

• Experience in design, implementation and deployment of major infrastructure features.

• Background with AI/ML, Data Analytics and application of them in Infrastructure.

• Experience in creating and scaling micro services and deployment on Kubernetes clusters.

• Ability to design robust distributed systems for heterogeneous platforms.

Come and work with us at NVIDIA where we have most resourceful and dedicated people in the world to advance Artificial Intelligence. If you interested in infrastructure, we love to hear from you!

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.