NVIDIA
Senior Solution Engineer, System Diagnostics Software
NVIDIA, Santa Clara, California, us, 95053
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 provide solutions on the latest NVIDIA platforms including the GB200. You must have excellent problem‑solving abilities, communication skills, Excel in Linux, and strong programming skills. 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).
Compensation Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD – 212,750 USD for Level 3, and 168,000 USD – 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Application Deadline Applications for this job will be accepted at least until September 19, 2025.
Equal Opportunity Statement NVIDIA is committed to fostering a diverse work environment and is a proud equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Industry & Job Function Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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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).
Compensation Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD – 212,750 USD for Level 3, and 168,000 USD – 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Application Deadline Applications for this job will be accepted at least until September 19, 2025.
Equal Opportunity Statement NVIDIA is committed to fostering a diverse work environment and is a proud equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Industry & Job Function Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
#J-18808-Ljbffr