Senior Networking Solutions Engineer for AI Clusters

Tech Sales Jobs; Austin (TX); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Senior Solution Engineer, Networking, to advance ground-breaking network tech used in AI clusters. You’ll root-cause complex issues, work with R&D on fixes, and communicate with customers and teams across the company.

Ideal candidates have deep C/Python experience in Linux environments, NOS, NICs, DPUs/SmartNICs, and a passion for learning innovative tech in a fast-paced setting.

Qualifications

• BS in Computer, Electrical, or Software Engineering or equivalent experience.
• 8+ years in C or Python on Linux or embedded systems.
• Experience with networking hardware/firmware and NOS.
• Strong debugging and root-cause analysis skills.

Responsibilities

• Assist various network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issues.
• Work with R&D teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA’s network technologies.
• Become an authority in NVIDIA network technologies used in AI clusters such as Infiniband, NVLink, and Spectrum-X.
• Analyze network performance metrics and make tuning recommendations for high-performance, lossless networks.
• Develop support and analysis tools to help analyze and root cause field issues.
• Daily use of ground breaking AI tools for software development, log and trace analysis, and source code debugging.
• Occasional work on weekends or holidays to support customers.

Skills

C programming

Python programming

Linux systems

Networking

Customer support

Problem solving

Education

Bachelor's degree in Computer, Electrical or Software Engineering

Tools

DPDK

NIC drivers

SDKs

NOS

Job description

NVIDIA seeks a Senior Solution Engineer, Networking, to advance ground-breaking network tech used in AI clusters. You’ll root-cause complex issues, work with R&D on fixes, and communicate with customers and teams across the company.

Ideal candidates have deep C/Python experience in Linux environments, NOS, NICs, DPUs/SmartNICs, and a passion for learning innovative tech in a fast-paced setting.