Senior Software and DevOps Development Engineer

NVIDIA is seeking an exceptional DevOps & Software Engineer to join our innovative development team. This team is at the heart of NVIDIA’s software infrastructure—building and maintaining a wide range of solutions including internal cloud environment, scalable CI infrastructure , automation frameworks and AI-driven tools. You will have a direct impact on NVIDIA’s products and development workflows. This role blends hands-on development with deep DevOps practices. It’s ideal for engineers passionate about scalability, infrastructure, automation, and modern development platforms.

What You’ll Be Doing

• Develop and maintain internal on-prem cloud solutions based on a microservices architecture to enable efficient, high-quality software development and delivery.
• Design and implement new capabilities, automation tools, infrastructure services, and advanced AI based solutions.
• Work across a wide variety of operating systems, building virtualization and system-level capabilities.
• Provide resilient solutions for a sophisticated infrastructure stack with the latest network devices.
• Contribute to a positive and collaborative team culture that values creativity and agility.
• Partner with engineering teams across NVIDIA to deliver scalable and reliable infrastructure solutions.
  
  

• B.Sc. in Computer Science, Computer Engineering, or equivalent technical field.
• 5+ years of hands-on experience in software development or DevOps roles.
• Proficiency in Python and familiarity with Linux environments.
• Solid understanding of software design, implementation, and debugging.
• Strong analytical skills, ability to troubleshoot complex systems.
• Self-driven, quick learner, comfortable with multitasking and dynamic environments.
  
  

• Experience with virtualization and operating system internals.
• Familiarity with tools like Kubernetes, Rancher, MongoDB, Redis, Docker, Vagrant, Ansible, or similar.
• Proven development and implementation of AI native solutions for production use cases.
• Strong background in CI/CD practices, particularly using Jenkins and infrastructure-as-code.
• Knowledge of networking fundamentals and protocols and prior experience with cloud infrastructure or grid computing environments.