Tools Development Engineer
NVIDIA is hiring a Tools Development Engineer in Pune, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, Linux and Pci E.
- Level classifies it as a mid-level role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted within the past two weeks.
AI in this role
Design and implement automated tests incorporating AI technologies for device driver software and SDKs on Linux.
We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of Linux operating systems. Comprehensive knowledge of system architecture is essential, along with a 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 will be regarded as 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 Linux operating systems.
- Build tools/utility/framework in Python or equivalent 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.
- You will have the opportunity to work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports.
- This is a fully onsite position.
What we need to see:
- B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
- 3+ years of programming experience in Python or equivalent 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 (Linux, Unix, Windows)
- Experience using AI tools to automate test cases as well as end-to-end QA workflow.
- 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
Ways to stand out from the crowd:
- Good problem-solving skills (solid logic to apply in isolation and regression of issues found) and good written communications skills
- Substantial experience with AI-driven automation
- Ability to work in a distributed team environment
- Development experience capable of fixing regression bugs , implementing/enabling test for CI/CD
How we rate this
Tools Development Engineer at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where test automation was part of your work. What did you do?
- Tell me about a project where software qa was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
- Tell me about a project where scripting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Test Automation, Software Qa, Debugging, and Scripting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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