Senior System Software Engineer - Cloud Infrastructure

October 28

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Design, prototype, implement and help operate the next generation of software to automate global cloud infrastructure for NVIDIA GPU-accelerated applications such as Deep Learning, Game Streaming, Content Delivery, and Generative AI. • Actively write code, participate in systems design, code reviews, test authoring, feature development, bug triage, automation, configuration, documentation, and bug fixes – including open source and NVIDIA internal software projects. • Benchmark, evaluate, and optimize the performance, reliability, and efficiency of network and storage subsystems and applications. • Lead and participate in PoC and development efforts for various application use cases, working with cloud tenants, application owners, and solutions architects to design optimal and performant systems.

Requirements

• BS or MS in Computer Science or Computer Engineering, and 8+ years of professional experience in software engineering. • Outstanding knowledge with Go (Golang), Python, C, C++, or other modern programming languages, including at least one compiled language. • Experience designing and writing concurrent software code for large-scale and performance-optimized distributed systems. • Excellent problem solving, collaborative, and interpersonal skills. • Outstanding communication and soft skills, able to present to senior management in a sensible and persuasive manner. • Ability to influence and build relationships with other software teams and functional groups. • Experience integrating network, storage, and compute technologies with virtual machine and container orchestration systems. • A security-first approach with a desire to deliver highly reliable, high-quality products. • Ability to root-cause functional and performance issues in distributed systems – and drive issues to closure. • Expert-level Linux systems configuration, automation, debugging, and performance optimization (ex. RHEL, CentOS, Ubuntu, Rocky Linux).