Note: The job is a remote job and is open to candidates in USA. NVIDIA is the AI computing company, and they are seeking an Engineering Manager to lead the team that builds CPU bootloader firmware for their ARM-based data center CPUs. The role involves overseeing the delivery and quality of firmware, mentoring a distributed team, and collaborating with architecture teams to shape future silicon designs.

Responsibilities

• 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

Skills

• 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
• 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)

Benefits

• You will also be eligible for equity and benefits.

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