Senior Tools Development Engineer

NVIDIA · Pune City, Maharashtra, India

On site
Full-time
$145,000 / year
Pune City, Maharashtra, India

Job highlights

Develop AI-driven automation for GPU testing.
Build tools in Python and C#.
Analyze results and report defects.
Enhance code coverage and workflows.
Collaborate on challenging technical issues.

About the role

About the Role

We are seeking a qualified Senior Tools Development Engineer to join our GPU SWQA team at NVIDIA. The successful candidate will leverage substantial experience with AI technologies for test case automation and possess an in-depth understanding of both Windows and Linux operating systems. Comprehensive knowledge of system architecture, PC I/O architecture, and common bus interfaces (PCI-E, USB, SATA) is essential. Familiarity with general PC-Architecture components will be considered a valuable asset.

What You’ll Be Doing

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, utilities, and frameworks in Python & C# to automate and optimize testing workflows in the GPU domain.
Develop and implement automated and manual tests, analyze results, identify, and report defects.
Rigorously drive test automation initiatives and explore innovative ways to automate and expand software testing.
Expose defects and constraints; isolate and debug issues to find the root cause; contribute to solutions and drive them 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, writing fast, effective, maintainable, reliable, and well-documented code.
Generate and test compatibility across a range of products and interfaces, validating key software applications across a comprehensive test matrix.
Provide peer code reviews, offering feedback on performance, scalability, and correctness.
Effectively estimate and prioritize tasks to create realistic delivery schedules.
Work on challenging technical and process issues, collaborating closely with leadership to report progress and generate actionable reports.

What We Need To See

B.S/B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
7+ years of programming experience in Python & C# with a strong grasp of Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts (dictionaries, tuples, RegEx, PIP, etc.).
Working experience with databases and storage technologies like SQL, MongoDB, and Elasticsearch.
Good understanding of OS fundamentals and PC Hardware fine-tuning (Windows & Linux).
Experience using AI tools for test case automation and end-to-end QA workflows.
Good communication skills (interpersonal and cross-team).
Excellent analytical and problem-solving skills.
Highly organized, proactive, with strong learning ability.
Ability to thrive in a fast-paced team environment.

Ways To Stand Out From The Crowd

Strong problem-solving skills with solid logic for issue isolation and regression.
Substantial experience with AI-driven automation.
Exposure to virtualization technologies and hands-on experience with Cloud Service Providers.
Ability to work effectively in a distributed team environment.
Development experience capable of fixing regression bugs and enabling tests for CI/CD.

Key skills/competency

Senior Tools Development Engineer
AI Test Automation
Python
C#
Windows OS
Linux OS
System Architecture
GPU Testing
Software QA
Object-Oriented Programming

Skills & topics

Senior Tools Development Engineer
AI Test Automation
Python
C#
Windows
Linux
System Architecture
GPU
Software QA
Object-Oriented Programming
NVIDIA
Computer Science
Electronics
Automation
Testing
Databases
SQL
MongoDB
Elasticsearch
PCI-E
USB
SATA
CI/CD
Virtualization
Cloud

How to get hired

Tailor your resume: Highlight 7+ years of Python/C# programming, AI automation experience, and OS/hardware knowledge.
Showcase AI expertise: Detail projects using AI for test automation and QA workflows in your application.
Emphasize technical skills: Mention databases (SQL, MongoDB, Elasticsearch) and PC architecture knowledge.
Prepare for interviews: Practice explaining complex technical problems, debugging scenarios, and collaborative teamwork.
Demonstrate soft skills: Highlight your communication, analytical, problem-solving, and proactive learning abilities.

Technical preparation

Master Python/C# with OOP principles.,Practice AI/ML concepts for automation.,Deepen OS and hardware architecture knowledge.,Prepare database and storage examples.

Behavioral questions

Describe a complex bug you debugged.,How do you drive automation initiatives?,How do you prioritize tasks effectively?,Discuss a time you collaborated on a solution.

Frequently asked questions

What specific AI technologies are preferred for the Senior Tools Development Engineer role at NVIDIA?: While the description emphasizes using AI tools for test automation, NVIDIA values experience with machine learning, deep learning, and natural language processing (NLP) techniques that can be applied to enhance test case generation, defect prediction, and root cause analysis. Showcase any projects where you've implemented AI models or algorithms to improve QA efficiency and effectiveness.
How does NVIDIA approach test automation for its GPU drivers and SDKs?: NVIDIA employs a rigorous approach to test automation for its GPU drivers and SDKs, integrating AI technologies to optimize workflows. The Senior Tools Development Engineer will play a key role in designing and implementing these advanced automation solutions across Windows and Linux environments. This involves building robust frameworks and tools to ensure the highest quality and performance.
What is the expected level of contribution for a Senior Tools Development Engineer in defect analysis and resolution?: As a Senior Tools Development Engineer, you are expected to deeply analyze defects, identify root causes, and contribute significantly to the solution. This includes debugging complex issues within the GPU domain, measuring code coverage, and driving improvements. Your ability to isolate and resolve technical challenges is critical to the team's success.
Can experience with virtualization and cloud platforms help my application for the Senior Tools Development Engineer position?: Yes, substantial experience with virtualization technologies and Cloud Service Providers is a significant advantage. NVIDIA often works with cloud environments for testing and development, so familiarity with platforms like AWS, Azure, or GCP, and technologies like VMware or Docker, can demonstrate your ability to adapt to diverse testing landscapes.
What are the key differences between the required skills and the 'Ways To Stand Out' for this NVIDIA role?: The 'required' skills are the baseline qualifications, such as Python/C# programming and OS knowledge. 'Ways to Stand Out' are the elements that differentiate candidates, such as substantial AI-driven automation experience, virtualization exposure, and strong problem-solving/communication skills for distributed teams. Excelling in these areas will make your application more competitive.
How important is Object-Oriented Programming (OOP) for this Senior Tools Development Engineer role?: Object-Oriented Programming is a fundamental requirement, with 7+ years of experience expected. A strong command of OOP concepts is crucial for developing maintainable, scalable, and efficient code within the tools and frameworks you'll be building at NVIDIA. Be prepared to discuss your OOP design principles and practical applications.
What kind of system architecture knowledge is beneficial for this NVIDIA position?: The role requires comprehensive knowledge of system architecture, specifically focusing on PC I/O architecture, and common bus interfaces like PCI-E, USB, and SATA. Understanding the specifications of general PC-Architecture components will also be highly regarded, as it aids in developing and testing drivers and SDKs that interact closely with hardware.

About the role

About the Role

What You’ll Be Doing

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, utilities, and frameworks in Python & C# to automate and optimize testing workflows in the GPU domain.
Develop and implement automated and manual tests, analyze results, identify, and report defects.
Rigorously drive test automation initiatives and explore innovative ways to automate and expand software testing.
Expose defects and constraints; isolate and debug issues to find the root cause; contribute to solutions and drive them 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, writing fast, effective, maintainable, reliable, and well-documented code.
Generate and test compatibility across a range of products and interfaces, validating key software applications across a comprehensive test matrix.
Provide peer code reviews, offering feedback on performance, scalability, and correctness.
Effectively estimate and prioritize tasks to create realistic delivery schedules.
Work on challenging technical and process issues, collaborating closely with leadership to report progress and generate actionable reports.

What We Need To See

B.S/B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
7+ years of programming experience in Python & C# with a strong grasp of Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts (dictionaries, tuples, RegEx, PIP, etc.).
Working experience with databases and storage technologies like SQL, MongoDB, and Elasticsearch.
Good understanding of OS fundamentals and PC Hardware fine-tuning (Windows & Linux).
Experience using AI tools for test case automation and end-to-end QA workflows.
Good communication skills (interpersonal and cross-team).
Excellent analytical and problem-solving skills.
Highly organized, proactive, with strong learning ability.
Ability to thrive in a fast-paced team environment.

Ways To Stand Out From The Crowd

Strong problem-solving skills with solid logic for issue isolation and regression.
Substantial experience with AI-driven automation.
Exposure to virtualization technologies and hands-on experience with Cloud Service Providers.
Ability to work effectively in a distributed team environment.
Development experience capable of fixing regression bugs and enabling tests for CI/CD.

Key skills/competency

Senior Tools Development Engineer
AI Test Automation
Python
C#
Windows OS
Linux OS
System Architecture
GPU Testing
Software QA
Object-Oriented Programming

How to get hired

Tailor your resume: Highlight 7+ years of Python/C# programming, AI automation experience, and OS/hardware knowledge.
Showcase AI expertise: Detail projects using AI for test automation and QA workflows in your application.
Emphasize technical skills: Mention databases (SQL, MongoDB, Elasticsearch) and PC architecture knowledge.
Prepare for interviews: Practice explaining complex technical problems, debugging scenarios, and collaborative teamwork.
Demonstrate soft skills: Highlight your communication, analytical, problem-solving, and proactive learning abilities.

Frequently asked questions

What specific AI technologies are preferred for the Senior Tools Development Engineer role at NVIDIA?

While the description emphasizes using AI tools for test automation, NVIDIA values experience with machine learning, deep learning, and natural language processing (NLP) techniques that can be applied to enhance test case generation, defect prediction, and root cause analysis. Showcase any projects where you've implemented AI models or algorithms to improve QA efficiency and effectiveness.

How does NVIDIA approach test automation for its GPU drivers and SDKs?

NVIDIA employs a rigorous approach to test automation for its GPU drivers and SDKs, integrating AI technologies to optimize workflows. The Senior Tools Development Engineer will play a key role in designing and implementing these advanced automation solutions across Windows and Linux environments. This involves building robust frameworks and tools to ensure the highest quality and performance.

What is the expected level of contribution for a Senior Tools Development Engineer in defect analysis and resolution?

As a Senior Tools Development Engineer, you are expected to deeply analyze defects, identify root causes, and contribute significantly to the solution. This includes debugging complex issues within the GPU domain, measuring code coverage, and driving improvements. Your ability to isolate and resolve technical challenges is critical to the team's success.

Can experience with virtualization and cloud platforms help my application for the Senior Tools Development Engineer position?

Yes, substantial experience with virtualization technologies and Cloud Service Providers is a significant advantage. NVIDIA often works with cloud environments for testing and development, so familiarity with platforms like AWS, Azure, or GCP, and technologies like VMware or Docker, can demonstrate your ability to adapt to diverse testing landscapes.

What are the key differences between the required skills and the 'Ways To Stand Out' for this NVIDIA role?

The 'required' skills are the baseline qualifications, such as Python/C# programming and OS knowledge. 'Ways to Stand Out' are the elements that differentiate candidates, such as substantial AI-driven automation experience, virtualization exposure, and strong problem-solving/communication skills for distributed teams. Excelling in these areas will make your application more competitive.

How important is Object-Oriented Programming (OOP) for this Senior Tools Development Engineer role?

Object-Oriented Programming is a fundamental requirement, with 7+ years of experience expected. A strong command of OOP concepts is crucial for developing maintainable, scalable, and efficient code within the tools and frameworks you'll be building at NVIDIA. Be prepared to discuss your OOP design principles and practical applications.

What kind of system architecture knowledge is beneficial for this NVIDIA position?

The role requires comprehensive knowledge of system architecture, specifically focusing on PC I/O architecture, and common bus interfaces like PCI-E, USB, and SATA. Understanding the specifications of general PC-Architecture components will also be highly regarded, as it aids in developing and testing drivers and SDKs that interact closely with hardware.