Senior System Software Engineer - Github

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 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

What we need to see:

Strong object-oriented programming background, with a preference for Java

Proven experience in developing large-scale cloud infrastructure applications

Knowledge of various technologies including Kubernetes and Message brokers

Experience with relational databases like MySQL, and NoSQL databases such as Elasticsearch

Ability to work effectively with various teams across different time zones

BS/MS in Computer Science, Computer Engineering, or equivalent experience

5+ years of proven experience