This role pays more than
75%
of similar roles. Most pay
$135,000–$197,137
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$166k
for comparable roles.
Based on 240 similar postings.
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
997 open roles
on FindRole.
Listed pay typically runs
$168,000–$270,250
across 984 roles with salary data.
As a systems-minded engineer at NVIDIA, you will join the team responsible for developing next-generation production workflow infrastructure for large-scale chip engineering. Your role involves building and maintaining features across YAML configuration, Make targets, Perl/Python utilities, Tcl checks, and structured output files to ensure complex engineering workflows are observable and repeatable. You will collaborate with senior platform architects to enhance existing systems using Python, Perl, C++, and other languages while strengthening early-failure checks and integrating distributed job execution and shared compute resources. The ideal candidate has a strong background in Linux fundamentals, automation, and production infrastructure, along with experience in workflow engines, CI/CD platforms, and large-scale engineering automation.
SONiC-NOS
Wireshark
Python
C++
Linux
GDB
IXIA
Spirent
High Speed Serdes
MAC ports
PRBS
ANLT analyzers
L2 switching
networking protocols
Cisco Silicon One