Join our dynamic team as a Senior System Engineer specializing in system bringup and datacenter applications, contributing to groundbreaking advancements in artificial intelligence, Omniverse, and GPU computing. You will collaborate with leading researchers and developers to optimize workflows and develop innovative solutions for large-scale compute runs, leveraging the latest accelerated computing and deep learning software and hardware platforms. Your responsibilities include enabling large-scale scheduling and resource management for GPU Computing products, ensuring technical relationships with internal and external teams, and providing expertise on datacenter and GPU-accelerated system solutions. Ideal candidates have over six years of experience in accelerated computing for datacenter/HPC solutions, proficiency in Python, Shell scripting, Ansible, Jenkins, and strong troubleshooting skills across various Linux distributions. Experience with SRE principles, firmware, BMC/OpenBMC, network protocols, and container technology is highly valued.
Provide engineering solutions for large-scale scheduling and resource management in GPU Computing products.
Serve as an internal expert on datacenter and large-scale GPU-accelerated system solutions within NVIDIA.
Assist systems and machine learning engineers in developing creative solutions using NVIDIA technology.
Troubleshoot and debug server issues in bare-metal/KVM/K8S environments with various Linux distributions.
Work on firmware, BMC/OpenBMC, network protocols, and storage devices for data center infrastructure.
What we're looking for
6+ years of experience in accelerated computing for datacenter/HPC solutions.
Expertise in OS and server automation using Python, Shell, Ansible, Jenkins.
Strong troubleshooting skills for Linux servers in bare-metal/KVM/K8S environments.
Experience with data center infrastructure provisioning and system bringup.
Knowledge of SRE principles including observability, logging, and monitoring.
Deep understanding of firmware, BMC/OpenBMC, network protocols, and storage devices.
BS or higher degree in Engineering, Mathematics, Physics, or Computer Science.
Market check
Salary context
This
$184,000–$287,500
range sits above
90%
of similar postings on FindRole.
Peer median band
$120,500–$215,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$203,300
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Silicon Valley - 488 Almaden Boulevard, US16 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
Santa Clara, Ca,Us, US22 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
Python
C/C++
RTOS
HIL
UART
SPI
I2C
TCP/IP
RS-485
BLE
NFC
UWB
TLS/X.509
Embedded Systems
Firmware Development
Test Automation
Network Protocols
Electronics Design
Validation Strategy