NVIDIA
AI computing
EngineeringManager,CPUBootloaderFirmware-SBIOS
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“Engineering Manager, CPU Bootloader Firmware - SBIOS at NVIDIA. Skills: CPU Bootloader Firmware (SBIOS), ARM Architecture, Firmware Engineering Management, System Bring-up, AI Tooling Integration. Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms, from architecture through production release. Lead, mentor, and grow a distributed team of firmware engineers focused on ARM bootloader, secure boot, and early system bring-up”
What You'll Achieve.
deliver a coherent platform firmware stack; deliver production-ready solutions; improve team velocity and code quality; accelerate time-to-market
Industry & Context.
drive rapid issue resolution across the hardware-software boundary; shared root-cause analysis
What They're Looking For.
Must Have
10+ overall years of relevant firmware or systems software experience, including bootloader, BIOS/UEFI, or embedded systems work, 3+ years of engineering management experience, with a track record of growing strong, supportive teams, Experience supporting distributed teams across multiple time zones, with a clear philosophy for helping autonomous contributors thrive, Solid foundation in C/C++ and the ability to engage in deep technical discussions about CPU bring-up, memory initialization, and hardware-software interfaces, Working knowledge of ARMv8/v9 architecture, exception levels, and bootloader concepts including reset flow, PSCI, and OS hand-off, Demonstrated AI-forward you use AI coding assistants in your own workflow and help your team adopt them, Excellent written and verbal communication skills, with a preference for written documentation that builds shared understanding for a remote team
Nice to Have
Hands-on experience with ARM Trusted Firmware (TF-A), EL3 firmware, and chain-of-trust on ARM server platforms, Familiarity with UEFI/EDK II, device tree, ACPI, and modern server boot flows, Experience with pre-silicon firmware bring-up on emulation, FPGA, or simulation platforms, and the transition to first silicon, Track record of partnering with silicon design teams, contributing firmware-side input to RTL and microarchitectural decisions, Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure, Experience integrating AI tooling into engineering workflows: code generation, retrieval-augmented development, or LLM-assisted CI, Proven success building team culture across remote, asynchronous settings — including hiring, onboarding, and career development, Working knowledge of server management protocols (IPMI, MCTP, PLDM) or virtualization platforms (KVM, QEMU)
What You'll Do.
Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms
from architecture through production release
and grow a distributed team of firmware engineers focused on ARM bootloader
and early system bring-up
Partner closely with NVIDIA’s CPU architecture team
contributing firmware perspective on hardware design and helping shape the next generation of silicon
Lead high-stakes technical reviews and drive rapid issue resolution across the hardware-software boundary
partnering with key stakeholders to accelerate time-to-market and ensure the delivery of production-ready solutions
Foster modern engineering practices: thoughtful code review
automated testing on emulation and silicon
and shared root-cause analysis
Build an AI-forward engineering culture by adopting AI coding assistants and LLM-based tools to improve team velocity and code quality
Support an async-first way of working that helps a geographically distributed team collaborate clearly across time zones
Plan and complete silicon tape-out and product launch milestones
sharing risks and status with senior leadership
How You'll Work.
Team & Collaboration
Partner closely with NVIDIA’s CPU architecture and design teams; Collaborate across the broader Datacenter Firmware organization; Partnering with key stakeholders to accelerate time-to-market; Support an async-first way of working that helps a geographically distributed team collaborate clearly across time zones; Track record of partnering with silicon design teams
Communication Scope
Excellent written and verbal communication skills; preference for written documentation that builds shared understanding for a remote team
Process & Methodology
Plan and complete silicon tape-out and product launch milestones, sharing risks and status with senior leadership
Full Job Description
NVIDIA is the AI computing company. Our Data Center Systems — including DGX, HGX, and MGX platforms — power AI training and inference for customers around the world. We are growing our teams with thoughtful, creative engineers who care about doing great work together. We are looking for an Engineering Manager to lead the team that builds CPU bootloader firmware (SBIOS) for NVIDIA’s ARM-based data center CPUs. Your team owns the firmware that brings up our CPUs from reset through hand-off to the operating system — a foundational layer that every NVIDIA Data Center System depends on. You will partner closely with NVIDIA’s CPU architecture and design teams to shape the next generation of silicon, and you will collaborate across the broader Datacenter Firmware organization to deliver a coherent platform firmware stack. Your team is distributed across multiple time zones. Your engineers are senior contributors who do their best work with clear context, room to operate, and strong support from their manager. You will set direction, remove obstacles, grow careers, and help your team ship. **What You’ll Be Doing:** * Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms, from architecture through production release. * Lead, mentor, and grow a distributed team of firmware engineers focused on ARM bootloader, secure boot, and early system bring-up. * Partner closely with NVIDIA’s CPU architecture team, contributing firmware perspective on hardware design and helping shape the next generation of silicon. * Lead high-stakes technical reviews and drive rapid issue resolution across the hardware-software boundary, partnering with key stakeholders to accelerate time-to-market and ensure the delivery of production-ready solutions. * Foster modern engineering practices: thoughtful code review, CI/CD pipelines, automated testing on emulation and silicon, and shared root-cause analysis. * Build an AI-forward engineering culture by adopting AI co
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