Senior Software Engineer, AI Networking

NVIDIA Gruppe; Austin (TX); On-site; USD 184,000 - 356,500; Full time

Job summary

NVIDIA Gruppe in Austin, Texas is looking for a Software Engineer to join their networking software team. This role will involve leading the design and development of innovative AI networking systems. Candidates should have over 8 years of experience and expertise in C/C++ as well as networking protocols.

Successful applicants will be responsible for managing complex customer engagements and developing high-performance software solutions that significantly impact NVIDIA's offerings in the industry.

Qualifications

• 8+ years of relevant industry experience in technical leadership.
• Deep knowledge of RoCE/InfiniBand and performance/latency tradeoffs.
• Experience in high-performance networking and system-level debugging.

Responsibilities

• Architect and develop innovative hardware-accelerated software solutions.
• Lead technical engagements with hyperscalers for design-in and performance tuning.
• Translate customer needs into product features and guidelines.

Skills

C/C++ proficiency

Networking protocols

Technical leadership

Debugging skills

Interpersonal skills

Education

Bachelor’s, Master’s or PhD in relevant field

Tools

DPDK

CUDA

Job description

Job Overview

We are seeking an outstanding Software Engineer to join our US‑based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will apply your deep expertise to manage complex customer engagements and help develop our product and architecture direction. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry.

Responsibilities

• Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high‑performance hardware‑accelerated software solutions.
• Lead deep technical engagements with hyperscalers, involving design‑in, coding, bring‑up, performance tuning, failure analysis, and production hardening.
• Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.
• Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.

Requirements

• A 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, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs.
• Proven low‑level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application.
• Demonstrated experience in high‑performance networking and system‑level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.
• Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross‑organizational teams toward a decision.
• Result driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

Preferred Qualifications

• Prior experience in customer‑facing technical leadership at hyperscalers/CSPs.
• Hands‑on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA‑aware networking, congestion control, and performance tuning at scale.
• Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence.
• Experience leading multi‑team initiatives across geo/time zones, with clear examples of influence without authority as well as eager and proactive in bringing to bear AI‑powered tools to accelerate debugging, documentation, and day‑to‑day engineering efficiency while maintaining strong engineering judgment.

Compensation and Benefits

Competitive salaries and a generous benefits package. Base salary ranges:

Level4: $184,000 – $287,500

Level5: $224,000 – $356,500. You will also be eligible for equity and benefits.

Application

Applications for this job will be accepted at least until March26,2026.

Equal Opportunity Employer

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.