Senior System Software Engineer, Distributed Systems - DGX Cloud

Details

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, a deep understanding of distributed systems, familiarity with software testing and deployment, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. 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. What are you waiting for? If you're creative, passionate about what you do, and love having fun, apply today!

Responsibilities

• We are designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Design, develop, test, debug, and optimize creative solutions for Datacenter firmware throughout its lifecycle.
• Work closely with hardware, software, infrastructure, and business teams to transform new firmware features from idea to reality.
• Define server-level reliability, availability, and serviceability requirements in collaboration with various customers like CSPs and deliver fault resilient solutions at scale as per customer expectations.
• Collaborate with hardware, software, and firmware teams to drive failure analysis and large scale solution deployment.
• Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.

Requirements

• BS, MS, or PhD in EE/CS or related field of education (or equivalent experience) with 6+ years of experience in active development using Python as the primary programming language on Linux.
• Highly motivated with strong communication skills; you must be capable of working successfully with multi-functional teams, principles, and architects, and coordinate effectively across organizational boundaries and geographies.
• Familiarity with industry standards and specifications such as SPI, I2C, PCIe, UEFI, and PLDM.
• System knowledge - how platform management works - including areas like BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.
• Expert level knowledge of a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
• Understanding of performance, security, and reliability in complex distributed systems. Familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

Ways to Stand Out from the Crowd

• Background with an in-depth understanding of the interaction of machine check architecture and error flows with system firmware/software.
• Familiarity with Linux server design, x86/ARM system architecture, interconnects like PCI, and other I/O buses.
• Proven operational excellence in designing and maintaining cloud AI infrastructure. Proficiency in architecting and running large-scale distributed systems, independent of cloud providers.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.