Senior Software Engineer, AI Networking

United States·Santa Clarasenior

Software EngineerSoftware Engineering

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Quick Summary

Key Responsibilities

Work with customers to understand their networking

Technical Tools

Software EngineerSoftware Engineering

Join NVIDIA’s Hyperscale Engineering team to develop networking solutions for large-scale AI infrastructure. You will work with customers and engineering teams to build, integrate, and improve software for BlueField and ConnectX platforms.

Your work will span software development, system integration, troubleshooting, and performance analysis, helping customers move from initial testing to production deployment.

Responsibilities

~1 min read

→Work with customers to understand their networking requirements and develop technical solutions.
→Develop and integrate networking software for BlueField and ConnectX platforms.
→Test and optimize RDMA and RoCE solutions for performance and reliability.
→Investigate issues across applications, networking libraries, drivers, firmware, and switches.
→Analyze packet drops, congestion, latency, and throughput to identify problems and recommend improvements.
→Create test cases and automation to reproduce issues, validate fixes, and measure performance.
→Collaborate with software, firmware, architecture, and product teams throughout development and deployment.
→Document findings and communicate progress, technical decisions, and next steps.

Requirements

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A degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
8+ years of relevant software or systems engineering experience.
Experience programming in C and developing or debugging software on Linux.
Knowledge of networking protocols and experience with RDMA, RoCE, or other high-performance networking technologies.
Experience investigating technical issues and evaluating possible solutions.
Clear communication skills and the ability to work with customers and colleagues across teams.
An interest in learning new technologies and sharing knowledge.

Experience with BlueField, ConnectX, DOCA, DPDK, or RDMA verbs.
Knowledge of congestion control, QoS, PFC, or ECN.
Familiarity with AI workloads, NCCL, or CUDA.
Experience testing or deploying networking solutions at scale.
Python or shell scripting experience for diagnostics and automation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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.