Senior Solution Engineer, System Diagnostics Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, SemiconductorsIndustries

Requirements

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 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

Responsibilities

Provide direct support to 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

Skills

Key technologies and capabilities for this role

LinuxMulti-GPUFirmwareBIOSKernelDriverContainersAI/MLPerformance AnalysisDatacenterSystem DiagnosticsNVIDIA GPU

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What are the key required skills for this Senior Solution Engineer role?

Key skills include strong system software expertise (firmware, BIOS, kernel, driver, OS), solid Linux understanding for AI/ML workloads, containerized solutions with Docker/Kubernetes/Slurm, proficient C/C++ and Python programming, and professional communication skills.

What is the work environment like at NVIDIA for this role?

The role involves direct customer interaction, working with engineering teams, occasional weekends/holidays, and contributing to products/tools in a fast-paced environment supporting GPU platforms in AI factories.

What experience will make me stand out as a candidate?

Stand out with background in parallel programming or GPU acceleration like CUDA, experience in GPU accelerated/cloud/virtualized environments, analyzing distributed workload performance, and clustering/HPC technologies including NCCL or MPI.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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