Staff Quality Engineer – AI-Driven Software Systems

The Elevator Pitch: Why will you enjoy this new opportunity?

You will be part of a forward-looking Quality Engineering organization focused on integrating artificial intelligence into the software development lifecycle (SDLC) to improve quality, speed, and scalability. As a Staff Quality Engineer and AI enthusiast, you will build intelligent systems for end-to-end test generation, legacy test-suite optimization, and automated failure triaging.

This is a unique opportunity to shape the future of software quality through AI-driven innovation—combining research-level thinking with enterprise-grade engineering.

Success in the Role: What are the performance outcomes over the first 6–12 months you will work toward completing?

• First 3 months: Develop a strong understanding of existing test frameworks, CI/CD systems, and data pipelines.
• By month 6: Deliver the first working prototype of an AI-powered test generation or triaging system integrated into our SDLC.
• By year 1: Establish scalable automation pipelines, demonstrate measurable quality improvements (coverage, MTTR, defect detection), and contribute to defining AI best practices within Quality Engineering.

The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis?

• Design and implement AI-assisted frameworks for intelligent test generation, failure classification, and regression suite optimization.
• Analyze test data, logs, and coverage trends to train and evaluate ML models for prediction and prioritization tasks.
• Collaborate with development, DevOps, and data science teams to integrate AI systems into CI/CD pipelines.
• Maintain automation frameworks and design experiments to assess model efficacy and stability.
• Research and prototype emerging AI tools (LLMs, code intelligence, autonomous agents) to enhance testing workflows.
• Lead technical discussions, mentor peers, and present findings to engineering leadership.

Required Qualifications

• Bachelor’s degree in Computer Science or related field and 8+ years of related experience, or Master’s degree and 6+ years of related experience.
• Proven background in software development and quality engineering, with a focus on automation and data-driven testing.
• Proficient programming skills in Python; experience with AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) is a plus.
• Experience integrating automation or analytics into CI/CD environments (e.g., Jenkins, GitHub Actions, or similar).
• Familiarity with machine learning concepts, data preparation, and evaluation metrics.
• Strong understanding of OS fundamentals, APIs, and distributed systems.
• Excellent analytical, diagnostic, and problem-solving skills.
• Strong communication and presentation skills with the ability to influence across teams.

What is the leadership like for this role? What is the structure and culture of the team like?

You will join a cross-functional Quality Engineering group that values innovation, autonomy, and measurable impact. The team is collaborative and research-driven, combining system-level quality expertise with modern AI experimentation. You will be encouraged to challenge conventions, introduce new tools, and drive AI adoption across the broader engineering organization.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

Welcome! Thank you for your interest in Broadcom!

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