SWQA Tools Development Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, GamingIndustries

Requirements

Engineering Graduate in Computer Science (or equivalent experience)
5+ Years of experience with a proven record of designing, building, and deploying AI/ML models or automation systems in real-world projects, either independently or as part of a team. Experience should be in areas such as using/creating AI tools to automate test case and environment creation and execution, increasing code coverage, and automatically identifying and filing bugs to enhance the overall efficiency of the end-to-end QA workflow
Full-stack Developer (Developed with Angular, ASP.NET Core Web API, IIS Web hosting) and Programming Languages Python, C#, SQL (Persistent data storage and queries) and version control tools like GitHub/Perforce
Experience working with RAG pipeline, good understanding of MCP, Prompt Engineering
Strong ability to tackle sophisticated problems and design innovative solutions
Juggle conflicting/chan (requirements appear truncated in description)

Responsibilities

Applying various Certification test Kits, test all software/hardware features of our products to ensure cert-level quality at all stages of the development cycle, from emulation to production. This involves a wide variety of functional categories (Graphics, Audio, USB, Hypervisors, Virtual Machines)
Working with existing UI and automation tools by integrating external/internal APIs, using AI/ML algorithms to optimize them and also developing new automated solutions
Communicate accurate, timely, and effective status to management and other key internal/external partners
Develop a thorough understanding of all functional and process-related aspects within the Software/Hardware Certification ecosystems. This will lead to full ownership of one or two Cert programs, involving leadership of other Cert engineers on the distributed team and collaboration with various multi-functional teams within the company
Devote time to process definition and improvement and come up with creative solutions to challenging problems to help us achieve our goals more efficiently
Represent the team in meetings internally (release planning, bug scrubs, project status etc.) and externally (cert authorities/partners)
Engage with the development teams when reporting Certification bugs and provide key debugging information and data points to help the development team drive bugs to closure quickly
Be a quality champion for every NVIDIA product you work with and spread that same ethos throughout the team and various interpersonal units

Skills

Full-stack

SWQA

Automation

AI/ML

APIs

HLK

HDMI

ESXi

Android CTS

Graphics

Audio

USB

Hypervisors

Virtual Machines

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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