SWQA Tools Development Engineer at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Engineering Graduate in Computer Science/IT/ECE with strong academics
3+ Years of experience with demonstrated ability to design, build, and deploy AI/ML models or automation systems in real-world projects, either independently or as part of a team
Experience in UI Development (Developed with Angular, ASP.NET Core Web API, IIS Web hosting)
Proficiency in Programming Languages: Python, C#, SQL (Persistent data storage and queries)
Experience with version control tools like GitHub/Perforce
Strong ability to tackle complex problems and design innovative solutions
Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules
Ability to work with geographically dispersed team and attend reviews/meetings to assist in maintaining alignment
Excellent Communication skills

Responsibilities

Come up to speed on testing and existing A&T for various cert programs (HLK, HDMI/DP, ESXi, Android CTS etc), then contribute new solutions to improve productivity, tracking, and efficiency
Utilize various Certification Kits to test all software/hardware features of products to ensure cert level quality at all stages of the development cycle from emulation to production, across functional categories (Graphics, Audio, USB, Hypervisors, Virtual Machines)
Actively work with existing UI and automation tools by integrating external/internal APIs, use AI/ML algorithms to optimize them, and develop new automated solutions
Communicate accurate, timely, and effective status to management and other key internal/external partners
Achieve thorough understanding in all functional and process related areas of the Hardware Certification ecosystem
Devote time to process definition and improvement and come up with creative solutions to challenging problems to help achieve goals more efficiently
Represent the team in meetings internally (release planning, bug scrubs, project status etc.) and externally (cert authorities/partners)
Engage with development teams when reporting Certification bugs and offer key debugging info and data points to assist in driving bugs to closure in a timely manner
Become a champion of quality for any NVIDIA product touched and proliferate that spirit across the team and cross-functional orgs

Skills

Automation

API Integration

AI/ML

Hardware Testing

Software Testing

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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