Senior Site Reliability Engineer - GPU Cloud

NVIDIA has been a pioneer in Accelerated Computing and has been paving the way with innovations in Generative AI, Large Language Model (LLM), Autonomous Vehicles, Robotics, High-Performance Computing (HPC), Gaming/Visualization, and Edge/Data Center/Cloud Computing. NVIDIA provides automakers, research institutions, cloud providers, large companies and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems.We are a fast paced, dynamic and dedicated Site Reliability Engineering (SRE) team serving the forefront of the latest science and technology trends on cloud and on-prem infrastructure management for High-Performance & Distributed Computing. Working closely with the development teams, we provide hosted solutions for our internal and external customers. Are you passionate about infrastructure and enjoy working on and resolving intricate multi-faceted issues? Are you eager to have your hands on the engines of the next generation of cloud services? Do you get a buzz from identifying and eliminating toil, designing and coding innovative solutions that address the needs of a whole organization? If so, read on and give us a shout.What You'll Be Doing:The NVIDIA GPU cloud is a hosted platform for internal R&D teams and external AI/ML stack customers. This SRE team is accountable for the setup, management, reliability and availability of this infrastructure spanning 1000s of GPU nodes. As a senior SRE, you are responsible for:Providing scalable and robust service oriented infrastructure automation, monitoring and analytics solutions for NVIDIA's on-prem and cloud based GPU infrastructure.You will own the whole life cycle of new tools and services - from requirements gathering, to design documentation, validation and deployment.Provide customer support on a rotation basis.What We Need To See:Minimum of 8 years of experience ce in automating and handling large-scale distributed system software deployments in on-prem/cloud environments.Proficiency in any language - Go/Python/Perl/C++/Java/C.Strong command on terraform, Kubernetes and cloud infra administration.Excellent debugging and troubleshooting skills.Ability to design simple and reliable systems that can work without much support.Outstanding teammate who can collaborate and influence in a multifaceted environment.Excellent interpersonal, and written communication skills.M.Sc or B.E in Computer Science or a related technical field involving coding (e.g., physics or mathematics)Ways To Stand Out From The Crowd:Ability to decompose complex requirements into simple tasks and reuse NVIDIA is looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. You’ll work on the software that accelerates the development of NVIDIA’s industry-leading networking chips – highway for the AI revolution. We're looking for someone who combines strong coding skills with a solid understanding of chip design or verification. If you’re excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, you’ll feel right at home here.What You’ll Be Doing:Develop software tools for NVIDIA’s chip design and verification flowsCollaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality.Own your solutions end-to-end — from idea to delivery to support.What We Need To See:B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering.Total of 5+ years of experience; 3+ years of experience developing software tools for chip design/verification and 2+ years of hands-on experience in chip design or verification.Proficiency in software engineering, with strong debugging and system design skills.Strong communication skills and a proactive approach to working with users and cross-functional teams.Ways To Stand Out From The Crowd:Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements.Experience in leading or contributing to cross-team technical discussions to define software solutionsPassion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios.Takes initiative to explore new ideas and independently drives solutions in ambiguous environments.Proficiency in PythonNVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers.JR2000096