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Senior System Software Engineer - Github

NVIDIA

Senior System Software Engineer - Github

full-timePosted: Jul 28, 2026Updated: Aug 27, 2026Pune, India

Job Description

NVIDIA seeks a senior software developer to contribute to a large-scale private cloud system on GitHub and Kubernetes. This system supports Continuous Integration services for several teams at NVIDIA.As a team, we work with various groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Autonomous Vehicles to meet their diverse infrastructure needs. These cloud services will be scaled to run on thousands of servers and complete millions of automated jobs per day. This improves the efficiency of thousands of NVIDIA's software engineers worldwide. We host a heterogeneous mix of machines with various operating systems (Windows/Linux/Android) and multiple hardware platforms (x86/ARM) featuring both NVIDIA GPUs and Tegra Processors. Are you driven by infrastructure and excited by complex issues? Are you set to build future cloud services, develop original solutions, explore data to detect actual problems, and fix them? We can’t wait to have a fun-loving person like you join us!What you'll be doing:Build creative, scalable cloud solutions to handle millions of jobs and thousands of systemsTackle challenging problems in infrastructure such as job scheduling, resource management, and automated recoveryDevelop complete solutions including Metrics, Alert, and Storage ServicesDig into data, analyze it extensively, and apply deep learning algorithms/machine learning to improve system performance and predictabilityContribute to our GitHub-based CI workflow to streamline and optimize processesWhat we need to see:Strong object-oriented programming background, with a preference for JavaProven experience in developing large-scale cloud infrastructure applicationsKnowledge of various technologies including Kubernetes and Message brokersExperience with relational databases like MySQL, and NoSQL databases such as ElasticsearchAbility to work effectively with various teams across different time zonesBS/MS in Computer Science, Computer Engineering, or equivalent experience5+ years of proven experienceWays to stand out from the crowd:Real-world experience with distributed systems, containers, and Kubernetes APIProficiency in computer algorithms with the capability to select the most suitable algorithms for complex problemsSkill in breaking down complex problems into manageable sub-problems and reusing solutions effectivelyExperience in crafting, implementing, and deploying major infrastructure features across multiple servers with incremental rolloutProficiency in Machine Learning and Data Analytics, and their application in Infrastructure as well as the ability to build simple systems that operate efficiently with minimal supportNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to individuals with disabilities. These accommodations help with the application process, essential job functions, and other employment benefits. Please contact us to request accommodation.

Locations

  • Pune, India

Responsibilities

  • Build creative, scalable cloud solutions to handle millions of jobs and thousands of systems
  • Tackle challenging problems in infrastructure such as job scheduling, resource management, and automated recovery
  • Develop complete solutions including Metrics, Alert, and Storage Services
  • Dig into data, analyze it extensively, and apply deep learning algorithms/machine learning to improve system performance and predictability
  • Contribute to our GitHub-based CI workflow to streamline and optimize processes
  • Build creative, scalable cloud solutions to handle millions of jobs and thousands of systems
  • Tackle challenging problems in infrastructure such as job scheduling, resource management, and automated recovery
  • Develop complete solutions including Metrics, Alert, and Storage Services
  • Dig into data, analyze it extensively, and apply deep learning algorithms/machine learning to improve system performance and predictability
  • Contribute to our GitHub-based CI workflow to streamline and optimize processes

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