Software QA Test and Tools Developer – Automotive Platform

NVIDIA; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

NVIDIA's SWQA organization seeks a world-class Software QA Test and Tool Developer to join our Automotive Platform team. The role focuses on architecting secure, reliable software for autonomous vehicles and building tools that define performance standards for Linux and QNX.

You'll design automated test suites, analyze requirements, and collaborate with project management, hardware, and software teams to deliver high-quality, testable products while advancing AI-enabled engineering velocity.

Qualifications

• 5+ years in automation engineering or software development.
• Bachelor's degree in CS, Electronics & Electrical Engineering.
• Strong Python or C++ skills.
• Experience with QNX or Linux-based OS.
• Familiarity with AI tools and LLMs.
• Knowledge of AI evaluation frameworks.

Responsibilities

• Design, execute, and automate test cases for automotive platforms.
• Review requirements and designs for testability and security from day one.
• Collaborate with PM, hardware, and software teams to analyze bugs and publish data-driven reports.
• Architect and maintain a distributed test automation framework for high concurrency.
• Develop test libraries and automation to accelerate development cycles.

Skills

Automation

Python

C++

QNX/Linux

AI tooling

LLM evaluation

Education

BSc Computer Science/Engineering

Tools

Linux

CI/CD

GTest

Job description

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

• 5+ 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.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status.

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