Join NVIDIA IT, where we are on a mission to building and delivering world-class platforms to optimize NVIDIA's IT infrastructure operations, encompassing IT asset management, configuration management, monitoring, logging, and incident management. Our platform ecosystem combines open-source tools, vendor products, and in-house innovations, with our ultimate vision focused on achieving self-monitoring, self-healing, and self-managing autonomous IT systems. As a Senior Software Engineer, encompassing roles such as infrastructure engineer, DevOps Engineer, Site Reliability Engineer, and automation engineer, you'll spearhead automation efforts, collaborate with infrastructure experts, and shape the future of IT operations with AI, generative AI, and machine learning. If you are a seasoned engineer with a fervor for automation, innovation, and professional growth, we invite you to become part of our world-class teams!

What you will be doing:

• Collaborating closely with a diverse team of Software Engineers, Network Engineers, Storage Engineers, Linux/Windows/VMware administrators, and Machine Learning experts to develop a unified platform catering to the scaling needs of internal clients.

• Designing, creating, and maintaining Python and Go-based software using contemporary DevOps tools.

• Streamlining tasks and elevating infrastructure management through the implementation of best practices.

• Crafting robust, scalable Go and Python programs.

• Playing a pivotal role in harnessing AI, generative AI, and machine learning for IT operations.

• Constructing advanced software services to facilitate rapid business expansion and taking ownership of the services you create.

What we need to see:

• A Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or equivalent experience.

• Over 8 years of industry experience in extensive engineering projects, with a particular emphasis on infrastructure automation, distributed systems, and tool development for managing large-scale private or public cloud systems.

• Proficiency in Python and Go programming; your coding and debugging expertise are pivotal to your success in this role.

• Demonstrated commitment to sound software engineering principles and a strong willingness to acquire new skills.

• Hands-on proficiency with databases, dashboards, and alerting systems.

• Experience with Linux-based server platforms and containerization.

• Expertise in CI/CD techniques, GitOps, and Infrastructure as Code.

• Hands-on experience with infrastructure automation tools and cloud-based deployments.

Ways to stand out from the crowd:

• Proficiency in developing tools using a GraphQL API.

• Experience in fine-tuning memory, storage, and networking settings for Linux system performance.

• Comprehensive understanding of computer networking fundamentals, DevOps practices, and experience with data pipelines using messaging bus platforms.

• Familiarity with asset/inventory management tools such as Nautobot, ITOM CMDB with expertise in using their APIs and other configuration automation methods.

• Expert-level automation skills and a fervor for process automation.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Visual Computing, Artificial Intelligence and High-Performance Computing. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 164,000 USD - 310,500 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.