英伟达Infrastructure Software Engineer, Deep Learning Libraries
任职要求
• BS or equivalent experience or higher degree in Computer Science or Computer Engineering • 2+ years of relevant experience • Strong programming skills in Python (or similar) and familiarity with C/C++ development • Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins) • Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) • A pragmatic approach to solving problems and collaboration • Passion for "it just works" automation and enabling team members Ways to stand out from the crowd: • Experience designing and developing automation in Jenkins with Groovy (or similar) • Background with distributed systems and cluster/cloud computing, especially with Kubernetes • Experience designing and developing unit and integration test frameworks • Hands-on experience with code coverage and static code analysis tools • Experience with GPU, mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar) This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many deep learning software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!
工作职责
• Designing and developing software for testing and analysis of our codebases • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries • Developing throughout the software stack, from the user experience down to the cluster and database layers • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Github, Gitlab, Jira, etc) • Advancing state of the art in those industry-standard tools
• Designing and developing software for testing and analysis of our codebases • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries • Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.) • Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies • Advancing the state of the art in those industry-standard tools
Develop, test and maintain rich web experiences with UIs that address deep domains with high volumes of data. Building reusable components and front-end libraries for future use. Work with backend team to define and integrate APIs. Implement software designs using JavaScript and related technologies. Prepare and execute unit and integration tests. Envision the functional and non-functional requirements to build solutions from scratch. To be able to define technologies, patterns and prototype solutions for new requirements to materialist it as a well functioning project. Build the front-end of applications through appealing visual design. Use test driven development to ensure responsiveness, consistency and efficiency and crafting maintainable testing infrastructure. Build features and applications with a mobile responsive design. Learn and adapt new technologies to quickly develop required POCs and influence.
Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization within NVIDIA. The group works with various other teams within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will create and establish tools and software solutions that leverage Large Language Models and agentic AI to automate end to end software engineering workflows and enhance the productivity of engineers across NVIDIA. What you’ll be doing: • Develop and implement solutions throughout software development lifecycles to improve developer efficiency, accelerate feedback loops, and boost release reliability • Experience designing, developing, and deploying AI agents to automate software development workflows and processes. • Continuously measure and report on the impact of AI interventions, showing progress in metrics such as cycle time, change failure rate, and mean time to recovery (MTTR). • Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures. • Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.