Design and build simulation and evaluation infrastructure used by AV and ML engineers, to accelerate development of Level 4 self-driving capabilities.
Lead and grow an engineering organization, setting a high bar for software quality, service reliability, and engineering culture.
100% hands-on coding role in C language, Kernel and Userspace. Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader.
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.
Own a Security Domain End to End: Take architectural ownership of a core domain of DGX Cloud security, from the design through the system running in production.
Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems. Own HGX platform as a lead for Firmware and System software readiness working across the organization.
Drive performance characterization work streams with engineering teams of key CSP/hyperscale customers — ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads.
Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management.
Great opportunity to join the core group at NVIDIA working to architect and build scalable and distributed NGC Cloud services. Be a technical leader on various projects across the platform, and be a major contributor of the entire platform’s architecture.
Drive rack-scale SW/FW architecture alignment across CSP engagements — including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and…
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