below marketmost similar roles pay hereabove market
This role pays more than
71%
of similar roles. Most pay
$147,636–$225,250
— the blue band above.
At the midpoint, this role pays about
$219k
versus about
$186k
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
1472 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1109 roles with salary data.
JOB TITLE: Senior Solution Engineer, Networking
The Senior Solution Engineer, Networking joins the NVIDIA Enterprise Experience Solutions Engineering team to establish expertise in groundbreaking network technology for AI clusters. This role involves connecting customer support teams with R&D to resolve sophisticated, front-line problems. You will reproduce and root-cause customer issues down to the source code level, develop bug fixes, and provide tuning recommendations for high-performance, lossless networks. Key responsibilities include analyzing network performance metrics and developing analysis tools. Required skills include proficiency in C and Python, Linux network drivers, network operating systems, and embedded firmware. You must possess experience with InfiniBand, NVLink, and Spectrum-X technologies. The role addresses complex technical challenges in AI compute infrastructure, focusing on IPC, race conditions, flow analysis, and software design gaps within high-speed interconnect systems.
Reproduce, resolve, and root cause sophisticated customer issues for network and AI cluster support teams.
Collaborate with R&D teams to develop bug fixes and workarounds for critical customer network technologies.
Serve as a subject matter expert on InfiniBand, NVLink, and Spectrum-X technologies.
Analyze network performance metrics to provide tuning recommendations for high-performance, lossless networks.
Develop custom support and analysis tools to identify and troubleshoot field issues.
Utilize AI tools for software development, log analysis, and source code debugging.
Provide detailed technical explanations of root causes to both internal and external customers.
What we're looking for
Minimum of a BS in Computer, Electrical, or Software Engineering or equivalent experience.
8+ years of experience in C or Python programming in Linux or embedded systems.
Experience developing software for Linux NIC drivers, switch ASICs and SDKs, embedded network device firmware, or network operating systems.
At least 3 years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructures.
Strong system software expertise in firmware, BIOS, kernel, drivers, and operating systems.
Professional-level communication skills, including the ability to adjust technical communication to the audience and remain calm in negative situations.
Background with AI infrastructure and HPC networking (preferred).
Experience programming switch and NIC ASICs and SDKs (preferred).
C
Python
Linux
InfiniBand
NVLink
Spectrum-X
DPDK
SRIOV
SDN
NIC Drivers
DPUs
SmartNICs
Embedded Firmware
CUDA
NCCL
MPI
DOCA
Network Operating Systems
HPC
IPC
C
Python
Linux
InfiniBand
NVLink
Spectrum-X
DPDK
SRIOV
SDN
NIC Drivers
DPUs
SmartNICs
Embedded Firmware
CUDA
NCCL
MPI
DOCA
Network Operating Systems
IPC
Kernel
BIOS
C
Python
Linux
Ethernet Networking
TCP/IP
BGP
EVPN-VxLAN
SONiC
Cumulus Linux
Network Operating Systems
Switch Pipelines
ACLs
Bluefield
ConnectX
Spectrum Switches
C
C++
Python
Go
Linux
InfiniBand
NVLink
Spectrum-X
Ethernet
IP Routing
NIC Drivers
Switch ASICs
SDKs
Firmware
Network Operating Systems
Source Code Debugging
C/C++
RDMA
DPDK
DOCA
NCCL
CUDA
RoCE
InfiniBand
Networking Protocols
Distributed Systems
Firmware
OS
Performance Tuning
Congestion Control
QoS
Telemetry
Automation