
10.000+ Mitarbeiter
Gegründet 1993
🏥 Gesundheitswesen
🏭 Fertigung
🤖 Künstliche Intelligenz
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.
🕒 vor 4 Tagen
🏄 California – Remote
💵 $320.000 - $488.750 / Jahr
⏰ Vollzeit
🟠 Senior
🔴 Experte
⚙️ Systemingenieur
🦅 H1B-Visum-Sponsor
🗣️🇺🇸🇬🇧 Englisch erforderlich
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10.000+ Mitarbeiter
Gegründet 1993
🏥 Gesundheitswesen
🏭 Fertigung
🤖 Künstliche Intelligenz
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.
• Ensure every DGX platform is ready for the full NVIDIA software stack—firmware, DGX OS, GPU drivers, CUDA toolkit, DCGM, DOCA/OFED, and management tools—as a validated, production-quality product. • Own the GA SW/FW release process delivering firmware bundles, BaseOS ISOs, and release notes to OEM/OSV partners. • Ensure platforms support AI agents like NemoClaw, Hermes agents, NIM microservices, and workloads customers expect out of the box. • Lead development of the manageability firmware stack (BMC, BIOS) for all DGX platforms. • Ensure firmware from partner teams (GPU, CPU, networking) integrates correctly at system level. • Define validation strategy proving each DGX platform is production-ready: end-to-end system validation including firmware regression, NVQual certification, DL workload performance, OS/CUDA stack testing, multi-user scenarios, power/thermal validation, and field upgrade reliability. • Establish quality gates and zero ship-stopper discipline. • Drive platform bring-up for each new DGX system—coordinating first boot across new silicon (CPU, GPU), board design, and firmware teams. • Own architectural strategy for next-generation platforms including firmware update mechanisms, system security posture, and AI application readiness. • Ensure firmware release flows meet CSP and enterprise deployment requirements. • Represent DGX platform readiness in executive reviews and strategic planning with VP/SVP leadership. • Engage with industry standards bodies (DMTF Redfish, OCP). • Own the complete DGX delivery lifecycle—system architecture, firmware development, integration, full-stack validation, GA release, and customer deployment—for every DGX product. • Serve as single point of accountability for DGX platform readiness across NVIDIA—aligning GPU, CPU, networking, security, OS, and AI software teams to deliver on schedule. • Own RCCA processes for field issues. • Manage external vendor partnerships (AMI for SBIOS, BMC contributors) with clear quality gates and program tracking. • Build and lead a world-class engineering organization. • Mentor and develop leaders.
• BS or MS in Computer Science, Electrical Engineering, or related field or equivalent experience. • 12+ overall years in systems firmware/software engineering, with 5+ years in engineering leadership. • Deep expertise in server system stack including SBIOS, BMC, OS, applications and system-level integration of complex multi-component products. • Proven track record delivering multi-generation server or data center platforms from architecture through customer deployment. • Experience managing engineering organizations across multiple geographies in a matrix environment. • Strong understanding of server hardware: CPU, GPU, interconnect, memory, PCIe, power delivery. • Experience owning end-to-end product quality—from firmware validation through full-stack system testing to field deployment.
• equity • benefits
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