Principal Software Engineer - Enterprise AI Platform

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.

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.
• 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.
• Advocate for proven methods in software engineering and bring a detailed approach to testing, continuous delivery, and reducing technical debt.

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.
• 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 performing 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 processes of managing cloud infrastructure.
• Excellent leadership, problem-solving, analytical and communication skills, capable of inspiring and leading a technical team.

Benefits

• Excellent programming, debugging, performance analysis, and test design skills using Python is a plus.
• You will also be eligible for equity and benefits.

Base Salary: 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.