This role pays more than
93%
of similar roles. Most pay
$151,000–$212,700
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$182k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior Software Engineer, AI Networking will join the networking software team as a technical leader to drive the transformation of AI networking systems. The role involves managing complex customer engagements and shaping product architecture for BlueField DPU and ConnectX product lines. Responsibilities include architecting, designing, and developing high-performance hardware-accelerated software solutions while leading deep technical engagements with hyperscalers involving coding, performance tuning, failure analysis, and production hardening. Candidates must possess expertise in networking protocols, distributed systems, RoCE/InfiniBand, and L1–L4 fundamentals. The position requires proficiency in C/C++ for debugging across firmware, drivers, and operating systems. Key technical skills include RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, and congestion control. This role addresses the challenge of building scalable, reliable infrastructure to support high-performance computing and large-scale AI workloads in complex data center environments.
What does a Software Engineer earn in Texas?
Median $186925 from 189 postings across 40 companies.
Act as a technical specialist for BlueField DPU and ConnectX product lines.
Architect, design, and develop scalable, high-performance hardware-accelerated software solutions.
Lead deep technical engagements with hyperscalers including coding, bring-up, performance tuning, and failure analysis.
Translate customer needs into product features, reference architectures, tooling, and guidelines.
Drive improvements in performance, reliability, and debuggability across customer stacks.
Convert technical findings into actionable items for product, firmware, and software roadmaps.
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 and L1–L4 fundamentals.
Proficiency in C/C++ with expertise in debugging firmware, drivers, OS, and applications.
Experience in high-performance networking and system-level debugging involving packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
Excellent interpersonal skills to explain complex topics to engineers, product managers, and customer collaborators.
Prior experience in customer-facing technical leadership at hyperscalers or CSPs.
Hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, and performance tuning at scale.
C
C++
RoCE
InfiniBand
RDMA
DPDK
DOCA
NCCL
CUDA
Networking Protocols
Distributed Systems
Firmware
Performance Tuning
Congestion Control
QoS
Telemetry
Automation
C
C++
Python
Bash
RDMA
RoCE
InfiniBand
PCIe
Networking Protocols
Firmware
Distributed Systems
Data Structures
Algorithms
Virtualization
High Performance Computing
low‑latency networking