Job Description

NVIDIA is hiring engineers to scale up its Distributed Compute Infrastructure. We expect you to have strong programming skills, a deep understanding of software building and packaging, especially related to Golang,C/C++/Java, experience with distribu

NVIDIA is hiring engineers to scale up its Distributed Compute Infrastructure. We expect you to have strong programming skills, a deep understanding of software building and packaging, especially related to Golang,C/C++/Java, 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, Simulation and Rendering solutions that impact current and future mission critical applications. If you're creative and passionate about what you do, motivated 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, metaverse and scientific research. Today, we stand at the beginning of the next era, AI computing and next generation internet, ignited by a new computing model, GPU powered deep learning and large scale Simulation. What you will be doing: This is a fantastic opportunity to join the core group working on Distributed Compute infrastructure used for Deep Learning and large scale Simulation. Design and develop systems and tools that integrate with our compute infrastructure and enable operations at large scale You will be working on distributed systems, including significant experience with most of the following: advance scheduling and resource management in distributed systems. Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack. Scale out and Optimize distributed systems at large scale involving thousands of GPUs and data center resources in the Kubernetes ecosystem. You will be working with cutting edge hardware and software including latest generation GPU, DPU and CPU. Integration work with low level system software it includes storage API, I/O, networking, and system software(NCCL, CUDA) 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. 3+ 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 Building and Operational experience in Compute Intensive Infrastructure Strong debugging and troubleshooting skills.