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$149,500–$208,800.
Based on 240 similar postings.
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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
1623 open roles
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Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
Senior Software Engineer, AI Networking joins the US-based networking software team as a technical leader. This role focuses on transforming AI networking systems by architecting, designing, and developing scalable, high-performance hardware-accelerated software solutions. The engineer will manage complex customer engagements with hyperscalers, performing design-in, coding, bring-up, performance tuning, and failure analysis. Key responsibilities include translating customer needs into product features, reference architectures, and firmware roadmap items. Required technical skills include deep knowledge of networking protocols, distributed systems, RoCE/InfiniBand, and L1–L4 fundamentals. Candidates must possess low-level software expertise in C/C++ for debugging across firmware, drivers, and OS layers. The work involves solving performance, reliability, and debuggability issues within the BlueField DPU and ConnectX product lines to optimize high-performance networking and congestion control.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Architect, design, and develop scalable, high-performance hardware-accelerated software solutions.
Lead deep technical engagements with hyperscalers involving design-in, coding, bring-up, and performance tuning.
Translate customer needs into product features, reference architectures, tooling, and technical guidelines.
Drive performance, reliability, and debuggability improvements across customer software stacks.
Convert technical findings into actionable product, firmware, and software roadmap items.
Serve as a technical specialist for BlueField DPU and ConnectX product lines.
Debug complex issues across firmware, drivers, OS, and applications using C/C++.
What we're looking for
Bachelor’s, Master’s, or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related science degree (or equivalent experience).
8+ years of relevant industry experience, including technical leadership across complex systems.
Deep knowledge of networking protocols and distributed systems, including RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs.
Proficiency in C/C++ with experience debugging across firmware, driver, OS, and application layers.
Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
Excellent interpersonal skills to explain complex topics to engineers, PMs, and customer collaborators.
Prior experience in customer-facing technical leadership at hyperscalers/CSPs (preferred).
Hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale (preferred).
C/C++
RDMA
DPDK
DOCA
NCCL
CUDA
RoCE
InfiniBand
Networking Protocols
Distributed Systems
Firmware
OS
Performance Tuning
Congestion Control
QoS
Telemetry
Automation
C/C++
RDMA
RoCE
InfiniBand
DPDK
DOCA
NCCL
CUDA
Networking Protocols
Distributed Systems
Firmware
Performance Tuning
Congestion Control
QoS
Telemetry
Automation
C
Python
Linux
Ethernet Networking
TCP/IP
BGP
EVPN-VxLAN
SONiC
Cumulus Linux
Network Operating Systems
Switch Pipelines
ACLs
Bluefield
ConnectX
Spectrum Switches
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