Software QA Test and Tools Developer – Automotive Platform

NVIDIA is hiring a Software QA Test and Tools Developer – Automotive Platform in Pune, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
Tools and skills the posting cites include Claude, Cursor and Claude Code.
Level classifies it as a mid-level role.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

claudecursorclaude-code

prompt-engineering

Are you ready to do your life’s work at the heart of the autonomous revolution? NVIDIA’s SWQA organization is seeking a world-class Software QA Test and Tool Developer to join our Automotive Platform team, where the code you validate ensures the safety of millions on the road. In this role, you won't just be testing software; you will be architecting the security and reliability of the next generation of intelligent vehicles. We are looking for engineers who are as comfortable navigating low-level product architecture as they are deep-diving into complex product use cases with passion for quality. This is a high-impact, hands-on position focused on our industry-leading automotive products, offering a rare opportunity to influence the core of our tech stack. You will also build the tools and frameworks that define performance standards for systems running on Linux and QNX.

What you’ll be doing:

Design, execute, and automate comprehensive test cases and test scenarios to validate our automotive platforms using various test methodologies to identify and track actionable defects and track them to closure.
Participate in deep-dive reviews of product requirements and technical designs, providing critical feedback to ensure features are built for testability and security from day one.
Partner closely with project management, hardware teams, and software developers to provide rigorous technical analysis of bugs and publish data-driven statistical reports for global team members.
Architect and maintain a distributed test automation framework capable of managing high-concurrency workloads across an extensive automation farm of hundreds of concurrent systems.
Develop sophisticated test libraries and automation solutions to accelerate development cycles and expand automated test coverage for reliable and 100%
Drive the full automation lifecycle, from analyzing log failures and logging defects to leading bug-scrub cycles that ensure high-quality product releases.

What we need to see:

2+ years proven experience in an automation engineering or software development role.
Bachelor’s degree in Computer Science, Electronics & Electrical Engineering.
Solid foundation in QNX or Linux-based operating systems, including a detailed understanding of system concepts and boot sequences.
Professional experience in System SW validation, including Bootloaders, BSP, ARM Trusted Firmware, Trusted OS (TOS), and Secure Boot protocols.
Strong Python or C++ skills with a focus on writing clean, maintainable, and testable code from a systems-level perspective.
Deep familiarity with AI-native development tools such as Claude Code, Cursor, or LLM APIs to optimize engineering velocity.
A clear understanding of LLM failure modes—including hallucination and context degradation—and experience building evaluation frameworks for AI-generated outputs.

Ways to stand out from the crowd:

Consistent track record of identifying vulnerabilities in low-level firmware or secure-boot implementations.
Practical history of deploying prompt engineering or LLM-based agents within a production-grade CI/CD pipeline.

How we rate this

Software QA Test and Tools Developer – Automotive Platform at NVIDIA rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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.

Key facts

Software QA Test and Tools Developer – Automotive Platform is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in India, Pune.
The job was posted on October 27, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringClaudeCursorClaude Code

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through how you've used Claude in your day-to-day work.
What are the limits of Cursor that you've run into, and how did you work around them?
What's a project where you used Claude Code hands-on?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: Prompt engineering, Claude, Cursor, and Claude Code. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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