Principal Software Engineer - Enterprise AI Platform

NVIDIA•Us, CA

22h•Hybrid

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. 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. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking to hire a deeply technical, creative, and hands-on Principal full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
15+ years of proven experience building sophisticated applications and APIs in Cloud and hybrid cloud environments at large scale preferably in Python.
Familiarity with gen AI application building, search and chatbots
Proven expertise of performance, reliability in sophisticated distributed systems and the teams that build them.
Strong proficiency in multiple programming languages and technologies relevant to AI and system development.
Has delivered software with full understanding of deploying applications in Kubernetes clusters along with GPU and CPU pod scheduling (Ability to understand on Prem)
Has delivered software in a cloud context and is familiar with the patterns and process of managing cloud infrastructure.
Proven track record to lead sophisticated projects and deliver results in a fast-paced, multifaceted environment.
Technical leadership designing products as well as mentoring and developing high preforming teams.
Extremely motivated, highly passionate, and curious about new technologies.
Take pride in your work and strive to achieve incredible results and possess superb communication and planning skills.

Nice To Haves

Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
Experience with Cloud Platforms, experience with Kubernetes and Docker.
Self-motivation and a drive to get things to “done”.
Excellent programming, debugging, performance analysis, and test design skills using python is a plus.

Responsibilities

Own the end-to-end lifecycle of software development, from concept to deployment, including architecture design, development, testing, and scaling
Derive technology roadmaps for enterprise generative AI platform and products
Understand internal micro-services, platforms, third party platforms and growing open-source code-repos to best leverage them during AI product development
Able to contribute to internal platforms and build re-usable components that can connect to enterprise data sources and power search, chatbots and other gen AI applications
Develop platform and systems enabling unified experience across applications and driving insights for end-to-end user experience.
Ensure system reliability, performance, and security at scale.
Help build and maintain our Continuous Delivery pipeline with the goal of moving changes to production faster and safer, while ensuring key operational standards.
Create and implement strategies to support business growth and technological advancements, ensuring flexibility and adaptability.
Provide peer reviews to other specialists including feedback on performance, scalability, and correctness.
Keep abreast of emerging trends and technologies in AI, software development, and system architecture.
Are a strong advocate of proven methods in software engineering and bring a detailed approach to testing, continuous delivery, and reducing technical debt.