Senior Software QA Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Bachelor or Masters degree in Computer Science, Electronics, Software Engineering, or equivalent experience
5+ years’ experience with 2+ years customer support or software-hardware testing experience
Experience troubleshooting and resolving hardware or software issues
Deep understanding of the Windows OS
Extensive scripting using Python
Deep knowledge of PC architecture, supercomputers, and computer clusters
Extensive experience building, configuring, and troubleshooting PCs or laptop systems
Experience with debugging tools, memory dump analysis, and remote debug
Strong interest in or knowledge of CUDA, OpenCL, and deep learning AI
Willing to work flexible hours

Responsibilities

Work with software developers, program managers, and customers to investigate reported issues, assist in root cause determination, and verify reported defects are fixed
Replicate customer/end user reported issues
Work on the latest NVIDIA products and technologies and provide software technical support to customers and partners
Analyze and reproduce issues reported by OEM customers and partners
Test NVIDIA products on customer specific platforms to ensure compatibility
Provide timely communication to cross-functional groups
Triage, isolate, and resolve reported problems
Develop and implement software tools that improve productivity

Skills

Python

Windows OS

PC Hardware

Debugging Tools

Memory Dump Analysis

Remote Debug

CUDA

OpenCL

Deep Learning

PC Architecture

Supercomputers

Computer Clusters

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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