As an Engineering Manager at NVIDIA's Data Center Systems team, you will lead a distributed group of firmware engineers responsible for developing CPU bootloader firmware for ARM-based data center CPUs. Your daily tasks include ensuring the quality and delivery of firmware across various platforms, mentoring your team in areas like secure boot and system bring-up, and collaborating with hardware architects to shape future silicon designs. You will also foster an AI-forward culture by integrating advanced coding tools and promoting modern engineering practices such as CI/CD pipelines and asynchronous collaboration. The ideal candidate has extensive experience in firmware development, particularly with ARMv8/v9 architecture, C/C++, and ARM Trusted Firmware (TF-A), along with a proven track record of managing distributed teams effectively.
Skills
C
C++
ARMv8/v9
ARM Trusted Firmware (TF-A)
UEFI/EDK II
ACPI
Python
CI/CD
AI coding assistants
LLM-based tools
NVIDIA DGX
NVIDIA HGX
NVIDIA MGX
IPMI
MCTP
PLDM
KVM
QEMU
What you'll do
Own delivery and quality of CPU bootloader firmware across NVIDIA’s data center CPU platforms.
Lead and mentor a distributed team of firmware engineers focused on ARM bootloader and secure boot.
Partner with hardware design teams to contribute firmware perspectives on next-generation silicon development.
Drive rapid issue resolution in high-stakes technical reviews, collaborating with key stakeholders.
Foster modern engineering practices including CI/CD pipelines and automated testing across emulation and silicon.
Build an AI-forward culture by integrating AI coding assistants and LLM-based tools into workflows.
Plan and complete silicon tape-out milestones while supporting product launch activities.
What we're looking for
10+ years of relevant firmware or systems software experience in bootloader, BIOS/UEFI, or embedded systems.
3+ years of engineering management experience with a proven track record of growing and supporting teams.
Experience managing distributed teams across multiple time zones with an emphasis on autonomy and clear communication.
Strong foundation in C/C++ and deep technical knowledge of CPU bring-up, memory initialization, and hardware-software interfaces.
Working knowledge of ARMv8/v9 architecture, including reset flow, PSCI, and OS hand-off concepts.
Demonstrated experience using AI coding assistants and integrating AI tooling into engineering workflows.
Market check
Salary context
This
$224,000–$356,500
range sits above
95%
of similar postings on FindRole.
Peer median band
$152,000–$240,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,475–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Silicon Valley - 488 Almaden Boulevard, US17 days ago
$124,000–$280,000
C/C++
Embedded System Development
JIRA
Agile
Real-time OS
Embedded Linux
Device Driver Interaction
IoT
AWS
Azure
iOS/Android Integration
ISO 9001
QMS Certified Development Environments
AI Tools
ST Micro
Nordic MCU Architectures