We are looking for a hardworking and innovative software engineer interested in building NVIDIA’s Unified Commerce Platform (UCP)! UCP will build the software components to enable all other NVIDIA cloud services to monetize their businesses. UCP will make it possible for NVIDIA cloud services to make their solutions available to customers with custom-made pricing and billing models, as well as providing the functionality that allows cloud product teams to securely accept payment for customers’ service usage. As a software engineer on the UCP team, you will own the full lifecycle of building meaningful software that enables NVIDIA to meet our goal of making AI, deep learning, and high-end gaming available for everyone in the cloud at a click of a button.
What you will be doing:
-
Design, implement, deploy, and maintain applications and services that impact NVIDIA’s business with an emphasis on subscriptions and pricing.
-
Focus on designing and coding architecture that yields significant performance, availability, and business value.
-
Work with other engineers within the Cloud Engineering & Services team on the shared full stack ownership of a collection of services. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production UCP services.
-
Work closely with cross-disciplinary teams to understand business requirements and align software direction to meet those needs.
What we need to see:
-
BS or MS in Computer Science or equivalent program from an accredited University / College (or equivalent experience)
-
5+ years of non-internship professional experience in software development
-
Deep experience in at least one modern programming language such as Go (Preferred), Java (Preferred), Python, and mastery of object-oriented design and programming.
-
Strong experience in development of distributed system features and/or cloud services, and RESTful web services.
-
Experience with one or more of the following required (Microservices, Kubernetes, Cloud native applications)
-
Strong self-initiative, passion, interpersonal skills, and agility working with new technology.
-
Experience with AWS cloud computing stack
-
Deep understanding of cloud design in the areas of global infrastructure, distributed systems, load balancing and security.
Ways to stand out from the crowd:
-
Demonstrated experience in developing distributed systems at internet scale and delivering complex projects.
-
Experience with container-based virtualization (e.g., Docker), container orchestration (e.g., Kubernetes) and Envoy Ingress gateway.
-
Experience with Data Warehouses, ETLs , Big data, Configuration Management systems (e.g., Terraform, Ansible, Puppet, Chef)
-
Knowledge of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build process, testing, and operations.
-
Proficiency in various monitoring tools such as Prometheus, Grafana, CloudWatch, and Thanos.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
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.”