Principal Software Engineer - Enterprise AI Platform

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Principal Software Engineer at NVIDIA, you will lead the development of AI platforms and products, overseeing the entire software lifecycle including architecture, development, and deployment. You will collaborate with teams in Cloud and AI/ML to innovate and improve business efficiency while ensuring system reliability and performance. Your role includes mentoring high-performing teams and adapting technology roadmaps.
Summary Generated by Built In

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. 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

  • 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.

  • 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 - 385,250 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

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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