Are you ready to help build a better future, solve some of the hardest real-world problems using large scale distributed computing, concurrent and highly available microservices architecture in the cloud? Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAn, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA is looking for a strong principal cloud software engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.
What you'll be doing:
Design and oversee the implementation of robust GPU cloud architectures for scalable and resilient applications.
Develop, optimize, and maintain cloud-based software solutions, focusing on performance and reliability.
Work closely with cross-functional teams to deliver high-quality cloud solutions.
Mentor junior engineers, providing guidance on best practices and technical development.
Identify and implement new technologies and methodologies to improve our cloud infrastructure and software development processes.
Maintain a customer-centric approach by supporting, maintaining, and detailing software functionality.
What we need to see:
Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
15+ years of software development experience, with at least 5 years focused on cloud technologies.
Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in crafting and composing complex, large-scale back-end systems.
Strong knowledge of core Java - Collections API, Streams API, Concurrency, I/O.
Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis.
Deep understanding of HTTP REST API, gRPC, security, and networking, along with a good grasp of API development influenced by UX/UI/CLI requirements.
Ability to drive pragmatic technical discussions towards practical solutions that are clean, reusable, testable, and extensible.
Dedication to collaborative development approaches, with the capability to impact daily operations across teams and collaborators.
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues.
Ways to stand out from the crowd:
Operational experience with large-scale applications.
Hold advanced cloud certifications (e.g., AWS Certified Solutions Architect – Professional).
Demonstrate active participation in open source projects, showcasing your contributions to the community or establishing yourself as an inspiring leader in the field.
Familiarity with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, and Splunk.
Experience in designing, implementing, and managing streaming projects and technologies (e.g., Kafka, Spark, Flink)
You will also be eligible for equity and benefits.
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.”
