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Nvidia Principal Software Engineer - Enterprise AI Platform 
United States, California 
106284407

14.04.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted 30+ Days Ago
job requisition id

What you will be doing:

  • 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.

What we need to see:

  • 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.

  • 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.

  • Has delivered software in a cloud context and is familiar with the patterns and process of managing cloud infrastructure.

  • Excellent leadership, problem-solving, analytical and communication skills, capable of inspiring and leading a technical team.

Ways to stand out from the crowd:

  • 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.

You will also be eligible for equity and .