Senior Solution Engineer, Networking

Jobtailor

California (MO)

On-site

USD 150,000 - 210,000

Full time

3 days ago

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Job summary

Jobtailor is seeking an experienced engineer to support and advance NVIDIA network technologies in AI clusters. You will root-cause complex customer issues, collaborate with R&D on fixes, and become a knowledge authority on InfiniBand, NVLink, and Spectrum-X.

You will analyze performance metrics, tune high-performance networks, and develop tools for issue analysis. Daily use of AI tooling for debugging and log analysis is required, with occasional weekend support.

Qualifications

BS in Computer, Electrical, or Software Engineering or equivalent experience.
5+ years in C or Python development on Linux platforms.
8+ years in software development for Linux NIC drivers, switch ASICs and SDKs, embedded network devices or SDN stacks.
3+ years directly supporting end-customers, partners, or integrators for network equipment.
Strong system software expertise: firmware, BIOS, kernel, driver, OS.
Professional communication and calm, decisive problem-solving in tough situations.
Experience with AI infrastructure or HPC networking is a plus.
Experience with InfiniBand or non-Ethernet tech; DPUs/SmartNICs helpful.

Responsibilities

Assist 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 network technologies
Become an authority in NVIDIA network technologies used in AI clusters, including InfiniBand, NVLink, and Spectrum-X
Analyze network performance metrics and make tuning recommendations for high-performance, lossless networks
Develop support and analysis tools to analyze and root-cause field issues
Use AI tools daily for software development, log and trace analysis, and source code debugging
Provide occasional weekend or holiday customer support

Skills

C Development

Python Development

Linux Platforms

NVIDIA Network Technologies

Customer Support

Education

BS in Computer, Electrical, or Software Engineering

Tools

NCCL

MPI

DOCA

CUDA

Job description

Assist 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 network technologies
Become an authority in NVIDIA network technologies used in AI clusters, including InfiniBand, NVLink, and Spectrum-X
Analyze network performance metrics and make tuning recommendations for high-performance, lossless networks
Develop support and analysis tools to analyze and root-cause field issues
Use AI tools daily for software development, log and trace analysis, and source code debugging
Provide occasional weekend or holiday customer support

Requirements

Minimum of a BS in Computer, Electrical, or Software Engineering (or equivalent experience)
5+ years of experience in C or Python development on Linux platforms
8+ years of experience developing, testing, and debugging software for Linux NIC drivers, switch ASICs and SDKs, embedded network device firmware, Linux-based network equipment, network operating systems, virtual routers, SDN stacks, virtual switching, DPDK, or SRIOV stacks
At least 3 years of experience directly supporting end-customers, partners, or integrators for network equipment and infrastructures
Strong system software expertise, including firmware, BIOS, kernel, driver, and operating system
Professional-level communication skills, including adjusting communication to the technical level of the audience and staying calm and focused in negative situations
Passion for learning innovative technology and motivation to work hard on ground-breaking products
Experience developing drivers or firmware for switch and NIC ASICs
Background with AI infrastructure and HPC networking
Experience with InfiniBand or other non-Ethernet network technologies
Experience developing or supporting DPUs or SmartNICs
Knowledge of HPC performance test tools and NVIDIA AI stacks, including NCCL, MPI, DOCA, and CUDA

Core Competencies

Demonstrates expertise in NVIDIA network technologies, including InfiniBand and NVLink, with a strong background in C and Python development on Linux platforms. Capable of analyzing network performance and providing solutions for high-performance networking in AI clusters.

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