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Principal Software Engineer - Enterprise AI Platform

1 Month ago • 15 Years + • Artificial Intelligence • $248,000 PA - $391,000 PA

Job Summary

Job Description

NVIDIA seeks a Principal Software Engineer to build next-generation AI platforms and products boosting business efficiency. Responsibilities include owning the software development lifecycle (architecture, development, testing, scaling), defining technology roadmaps for enterprise generative AI, leveraging internal/third-party platforms and open-source resources for AI product development, building reusable components connecting to enterprise data sources, ensuring system reliability and performance, and contributing to the continuous delivery pipeline. The role demands expertise in RAG, agentic AI, and building AI products using SOTA paradigms.
Must have:
  • 15+ years experience building applications and APIs
  • Gen AI application building expertise
  • Proficiency in multiple programming languages
  • Technical leadership and team mentoring
  • Cloud experience (Python, Kubernetes, Docker)
Good to have:
  • Experience enhancing enterprise efficiency with Generative AI
  • Experience with Cloud Platforms
Perks:
  • Equity
  • Benefits

Job Details

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.

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.

#LI-Hybrid

The base salary range is 248,000 USD - 391,000 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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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