Join NVIDIA’s data center systems team as a senior technical architect responsible for the end-to-end architecture of advanced platforms like DGX and HGX, integrating GPUs, NVLink, InfiniBand networking, Grace CPUs, and optimized AI software. You will lead technological discussions with major customers, define KPIs, gather requirements, and address complex queries while driving adoption of new technologies and protocols. Your role involves deep expertise in scalable server system architecture, firmware, kernel drivers, and Linux internals, alongside proficiency in management architectures and networking protocols. With extensive experience in system software for accelerators and enterprise storage, you will collaborate with security experts to balance tradeoffs between security and usability, implementing left-shift strategies to mitigate risks in large-scale projects. This role demands a strong background in HPC programming models like CUDA and cuDNN, as well as participation in standards bodies such as OCP and DMTF.
Skills
Linux
NVIDIA GPUs
InfiniBand
TCP/IP
Ethernet
Redfish
IPMI
MCTP
PLDM
SPDM
RDE
OpenBMC
CUDA
cuDNN
DOCA
OCP
DMTF
HPC
CI/CD
What you'll do
Lead technical innovation and strategic collaborations with major hyperscalers for next-generation data center products.
Serve as the primary technical point of contact for major customers, addressing complex queries and defining KPIs.
Develop new technologies and protocols to drive adoption in enterprise and cloud provider markets.
Make critical technical decisions in ambiguous situations using left-shift strategies to mitigate risks.
Align NVIDIA's roadmap with customer requirements through direct engagement with industry leaders.
What we're looking for
Deep expertise in scalable server system architecture and SW/HW interfaces.
Extensive experience with complex system software for GPUs, DPUs, and FPGAs.
Mastery of system firmware (SBIOS, OpenBMC), embedded systems, and Linux kernel internals.
Proficiency in Out-of-Band management architectures and device/system management protocols.
Extensive knowledge of networking technologies including TCP/IP, Ethernet, InfiniBand.
Demonstrated success leading complex cross-functional projects with a left-shift strategy.
Participation in standards bodies such as OCP and DMTF.
Market check
Salary context
This
$272,000–$431,250
range sits above
99%
of similar postings on FindRole.
Peer median band
$158,499–$244,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$168,687–$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.
Remote (Us, Ca, Santa Clara, US)16 days ago
$272,000–$431,250
C
C++
Python
Git
Jira
x86
ARM
BMC
SCM
Data_center_health_management
Firmware_architecture
Telemetry
Server_manageability
Cluster_bring_up
Data_center_management
Us, Ca, Santa Clara, US10 days ago
$224,000–$356,500
C/C++
Zephyr
FreeRTOS
Python
Go
Bash
DMTF
MCTP
PLDM
SPDM
SMBUS
OCP
Linux
USB
I3C
ARM
Embedded Development
Interrupt Schemes
Multi-threading
DMA
Memory Management
Santa Clara, Ca,Us, US23 days ago
$180,600–$271,000
C
Assembly
RTOS
OS kernel environments
Zephyr
eCos
µC/OS
FreeRTOS
ARMv8
Simulators
FPGA emulation
Interprocessor communication
Power management
Driver development
Embedded firmware development