Senior Tools Dev Engineer at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Excellent written and verbal communication skills and excellent analytical and problem-solving skills
The ability to work with a team of engineers in a fast paced environment

Responsibilities

Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform
Execute automated tests, identify, and report defects
Measure code coverage, analyze and drive code coverage improvements
Develop applications and tools that bring data driven insights to development and test workflows
Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain
Write maintainable, reliable, and well detailed code
Debug issues to identify the root cause
Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule
Generate and test compatibility across a range of products and interfaces
Work closely with leadership to report progress by generating effective and impactful reports

Skills

C++

Python

Windows

Automated Testing

GPU

Code Coverage

Debugging

Code Review

Device Driver

SDK

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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