Engineering Manager, CPU Bootloader Firmware -… at Nvidia · Santa…

Engineering Manager, CPU Bootloader Firmware - SBIOS Location: US, CA, Santa Clara 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 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. What We Need to See: BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 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 mindset; 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. Ways to Stand Out from the Crowd: 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). NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you! NVIDIA is one of the technology industry’s most welcoming employers for people who love hard problems and learning together. If this role sounds like a fit, we would love to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Additional Locations: US, NC, Remote, US, TX, Remote, US, WA, Remote, US, Remote