Tools Development Engineer

Overview

Join NVIDIA's GPU SWQA team as a Software Tools Development Engineer, building AI-driven test automation for device driver software and SDKs on Linux.

What you'll do

• Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Linux operating systems.
• Build tools, utilities and frameworks in Python or equivalent 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 build innovative ways to automate and expand software testing.
• Expose defects and constraints, isolate and debug issues, find root causes, contribute to solutions and drive them to closure.
• Measure code coverage for the software under test, analyze it, 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, and validate 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 to create a realistic delivery schedule.
• Work on challenging technical and process issues and work closely with leadership to report progress through effective and actionable reports.

What you'll need

• B.S / B.Tech / M.S in Computer Science or Electronics & Telecommunication with strong academics, or equivalent experience.
• 3+ years of programming experience in Python or equivalent, with experience applying Object-Oriented Programming concepts.
• Hands-on knowledge of developing Python scripts with application development concepts such as dictionaries, tuples, RegEx and PIP.
• Working experience with databases and storage technologies such as SQL, MongoDB and Elasticsearch.
• Good understanding of OS fundamentals and PC hardware fine-tuning in those areas (Linux, Unix, Windows).
• Substantial experience with AI technologies for automation of test cases.
• Experience using AI tools to automate test cases as well as the end-to-end QA workflow.
• In-depth understanding of 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.
• Good communication skills, interpersonal and across teams.
• Excellent analytical and problem-solving skills.
• Very organized, proactive, with good learning ability.
• Ability to work with a team of engineers in a fast-paced environment.

Nice to have

• Familiarity with specifications pertaining to general PC architecture components.
• Good problem-solving skills (solid logic to apply in isolation and regression of issues found) and good written communication skills.
• Substantial experience with AI-driven automation.
• Ability to work in a distributed team environment.
• Development experience capable of fixing regression bugs, and implementing or enabling tests for CI/CD.

Details

• Location: Pune, India.
• Work mode: fully onsite.