Drive the future of quality for the world’s most complex devices by building agentic workflows and intelligent frameworks. In this role, you will architect and develop tools that empower autonomous systems to assess, analyze, and enhance product quality at every stage.
Requirements
- Experience with Python, C, C++, or other related programming languages, and with the PyTorch framework
- 3+ Years of experience in designing and developing applications that process and leverage large-scale datasets, with a focus on fine-tuning AI models and building agentic AI systems
- Experience with automated testing of consumer devices in a CI/CD environment
- Expertise in leveraging AI/ML to optimize quality processes
- Demonstrated ability to fine-tune and deploy advanced AI models for real-world QA scenarios
- Familiarity with agentic AI systems for autonomous testing, computer use, and decision-making
- Background in statistical analysis, experiment design, and evaluation methodologies for AI-driven quality systems
Responsibilities
- Design and build agentic testing frameworks that proactively identify quality issues and edge cases across complex hardware and software systems
- Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithm implementation
- Develop scalable, reusable tools and infrastructure that enable continuous quality analysis and improvement throughout the product lifecycle
- Drive context engineering strategies to ensure robust internal quality workflows
- Integrate the latest advances in machine learning and research into practical solutions that enhance product quality and reliability
- Establish, track, and analyze key quality metrics to measure the effectiveness of agentic workflows and drive data-informed decision making
- Automate quality assessment, reporting, and remediation processes to streamline and enhance quality workflows
Other
- Collaborate with research scientists and cross-functional partners in a team environment
- Mentor other team members and play a significant role in healthy cross-functional collaboration
- Advocate for best practices in AI, software engineering, and quality to foster best engineering practices and innovation
- Demonstrated ability to solve complex problems and compare alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Experience working and communicating cross-functionally in a team environment
