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
Ways to stand out from the crowd:
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
NVIDIA 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.
Skills Required
- Strong object-oriented programming background
- Proven experience developing large-scale cloud infrastructure applications
- Knowledge of Kubernetes
- Knowledge of Message brokers
- Experience with relational databases like MySQL
- Experience with NoSQL databases such as Elasticsearch
- Ability to work effectively with teams across different time zones
- BS/MS in Computer Science, Computer Engineering, or equivalent experience
- 5+ years of proven experience
- Preference for Java experience
- Experience with distributed systems, containers, and Kubernetes API
- Proficiency in Machine Learning and Data Analytics applied to infrastructure
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
