Senior Web Software Engineer, AI Infrastructure

• Design and develop scalable, reliable distributed systems that power our AI infrastructure and deep learning platform. • Design and develop microservices, data pipelines for mining, transforming, and composing petabyte-scale datasets. • Collaborate with deep learning teams to understand their needs and build a future-ready platform that improves developer and researcher productivity. • Design and develop tools to diagnose and analyze autonomous vehicles system issues. • Partner with platform users to continuously improve the user experience.

• A bachelor's or master's degree in computer science, software engineering, or a related fields. • At least 8 years of industry experience in designing and developing distributed systems. • Strong software development fundamentals, including algorithms, data structures, design patterns, computer architecture. • Deep knowledge in distributed system design and development. • Hands-on experience designing or operating big data platforms, including Apache Spark, data architectures, and large-scale batch or streaming data pipelines. • Expert-level proficiency in at least one of the following languages: Go, Python, or Java. • Strong communication and interpersonal skills, with a demonstrated ability to collaborate across cross-functional teams, organizations.

• Experience with Amazon AWS cloud, especially CloudFront, DynamoDB, Lambda, S3, SNS/SQS. • Experience with Kubernetes and Docker. • Contributions to open-source projects. • Demonstrated passion for new technologies and initiative in tackling complex technical challenges. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative and autonomous software engineer with a genuine passion for advancing the state of AI and machine learning across a variety of verticals? Do you love a challenge? If so, we want to hear from you!