Senior System Software Engineer - Github
Indexed description
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
- 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
- Real-world experience with distributed systems, containers, and Kubernetes API
- Proficiency in computer algorithms with the capability to select the most suitable algorithms for complex problems
- Skill in breaking down complex problems into manageable sub-problems and reusing solutions effectively
- Experience in crafting, implementing, and deploying major infrastructure features across multiple servers with incremental rollout
- Proficiency 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 support
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.
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