Senior Solution Engineer, System Diagnostics Software
NVIDIA is looking for an engineer who wants the excitement of direct customer interaction, and the reward of contributing to software and products, to join our team of Solution Engineers supporting the NVIDIA’s GPU accelerated platforms in AI Factories! You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to work on multiple projects and tasks. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus.
What you'll be doing:
Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or advance customer issues.
Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information.
Create/update product and/or support tools.
Take ownership and drive customer issues from inception to resolution.
Document customer interactions and better enhance our knowledge base.
Develop features and tools as part of solution engineering efforts to support NVIDIA technologies
Occasional work on weekends and holidays to support customers
What we need to see:
Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.
At least 5+ years of engineering experience with multi-GPU platforms
Strong system software (firmware, BIOS, kernel, driver, operating system) expertise
Solid understanding of Linux and the ability to analyze, optimize, and customize Linux environments for AI/ML workloads.
Containerized solutions experience with Docker, Kubernetes, Slurm
Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
Excellent follow-up and organizational skills, with a passion or love for solving problems.
Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers
Proficient in Python programming with the ability to build custom tools
Ways to stand out from the crowd:
Background with parallel programming or GPU acceleration (e.g., CUDA)
Experience developing in GPU accelerated / cloud / virtualized environments
Experience analyzing software performance of distributed workloads
Clustering or HPC data center technologies including Upper Layer Protocols (NCCL, MPI)
You will also be eligible for equity and benefits.
Average salary estimate
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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