Senior Software Engineer, Distributed Systems - Kubernetes
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 C++, 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 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! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:
This is a fantastic opportunity to join the core group working on AI infrastructure for Autonomous Car/Robotics.
We work on building and improving the Distributed computing infrastructure for creating large scale distributed model training
Expand and optimize job Orchestration Infrastructure(K8s), Scheduler. Solid technical foundation in distributed computing and storage, including significant experience with most of the following: server systems, storage, I/O, networking, and system software
Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.
What we need to see:
Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.
10+ years of software engineering experience on large-scale production systems. You possess a BS in Computer Science/Engineering/Physics/Mathematics or other comparable Degree or Experience
Expert level knowledge of a systems programming language (Go, C++, Java) and Solid understanding of Data Structure and Algorithms.
Strong understanding of Container Orchestration Systems(K8s/Mesos) and Container Technology.
Understanding of performance, security and reliability in complex distributed systems. Familiarity with system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Ways to stand out from the crowd:
Large-scale Distributed System
Strong hands on knowledge of K8s
Operational experience in AI Infrastructure
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.