Senior Systems Full Stack Engineer - AI Infrastructure

NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have strong programming skills, a deep understanding of software building and packaging, especially related to GO and Python, experience with distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box thinkers who can provide new ideas while being strong at executing tasks. Expect to be constantly challenged, improving and evolving for the better.

You and other engineers in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science. If you're creative, passionate about what you do, autonomous, and love having fun, then what are you waiting for? Apply today!

What You'll Be Doing

• Building full stack services to analyze the workloads and applications with the goal of improving the SW and infrastructure efficiency.
• Understand, analyze, profile, and optimize infrastructure supporting deep learning and HPC applications.
• Build tools to automate workload analysis, workload optimization, and other critical workflows.
• Extract customer needs and define technical requirements pertaining to hybrid platforms spanning on premise and CSPs.
• Understand, analyze, and optimize API communications with various products and across various media (HTTP/REST, gRPC, ssh).
• Collaborate with other product owners to understand and design for their needs, and with service providers to express requirements.
• Implement production-quality software across NVIDIA's deep learning platform stack.
• Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.

What We Need To See

• Masters in CS, EE, or CSEE or equivalent experience.
• 4+ years of job experience.
• Wide experience with Linux based operating systems.
• High-level knowledge of a mainstream programming language (Go/Python/JavaScript) as well as the ability to pick up new ones.
• Understanding of performance, security, and reliability in complex distributed systems.
• Experience with Git and hosted-GIT services (GitLab, etc.).
• General web networking knowledge (HTTP, REST, gRPC).
• A solid understanding of micro-service Architecture and RESTful APIs. Experience with unit test tools and code coverage tools.
• Excellent data analysis skills and demonstrated ability to solve sophisticated issues involving multiple software or hardware components.

Ways To Stand Out From The Crowd

• Background with Apache Airflow.
• Experience with next.js, next.auth, and react-based SPAs, server-sent events. Experience with large micro-service systems.
• Experience implementing GitLab CI pipelines. Experience with async programming.

The base salary range is $144,000 - $270,250. 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 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.