Software QA Test Dev Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication 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
Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch
Good understanding of OS fundamentals, PC Hardware fine-tuning in those areas
Good Communication skills (interpersonal and across teams)
Excellent analytical and problem-solving skills
Very organized, proactive, and has good learning ability
The ability to work with a team of engineers in a fast-paced environment
Substantial experience with AI technologies for automation of test cases
In-depth understanding of both Windows and Linux operating systems
Comprehensive knowledge of system architecture
Strong command of PC I/O architecture and common bus interfaces, including PCI-E, USB, and SATA
Familiarity with specifications pertaining to general PC-Architecture components

Responsibilities

Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems
Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain
Develop and implement automated and manual tests, analyze results, identify and report defects
Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing
Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure
Measure code coverage for the software under test, analyze and drive code coverage enhancements
Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code
Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth
Provide peer code reviews including feedback on performance, scalability and correctness
Effectively estimate and prioritize tasks in order to create a realistic delivery schedule
Work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports

Skills

Key technologies and capabilities for this role

PythonCC++LinuxWindowsPCI-EUSBSATAAIGPUTest AutomationDevice Drivers

Questions & Answers

Common questions about this position

What is the salary for this Software QA Test Dev Engineer position?

This information is not specified in the job description.

Is this position remote or onsite?

This is an onsite position located at the Santa Clara HQ office.

What skills are required for this role?

Required skills include 5+ years of programming in Python/C/C++ with OOP concepts, hands-on Python scripting with dictionaries, tuples, RegEx, PIP, experience with databases like SQL, MongoDB, Elasticsearch, and good understanding of OS fundamentals and PC hardware.

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

You will work with a team of engineers in a fast-paced environment, handling challenging technical issues and collaborating closely with leadership.

What makes a candidate stand out for this position?

Candidates stand out with a B.S./B.Tech/M.S. in Computer Science or related field with strong academics, substantial experience in AI technologies for test automation, in-depth knowledge of Windows/Linux, system architecture, PC I/O including PCI-E/USB/SATA, and excellent communication, analytical, and problem-solving skills.

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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