Quality Engineer - AI Ecosystem
Lenovo
Software Engineering, Data Science, Quality Assurance
Chicago, IL, USA
USD 120k-130k / year
Why Work at Lenovo
Description and Requirements
About Our Team
We are looking for a Quality Engineer with solid experience testing mobile, device, or cloud systems. This role focuses on writing tests, maintaining automation, validating features, and identifying issues early. You will work closely with developers, product teams, and senior QEs to ensure strong test coverage and quality across Qira.
We recently introduced Qira, our new cross‑device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here: [1] https://news.lenovo.com/pressroom/press-releases/lenovo-unveils-lenovo-and-motorola-qira/
Location: Chicago, IL, Hybrid (3 days onsite and 2 days remote)
What You'll Do
- Write and execute functional, regression, integration, and exploratory tests.
- Test Qira features across device, mobile, and cloud environments.
- Help maintain and expand automated test suites.
- Validate AI workflows, cross‑device features, and user scenarios.
- Reproduce, document, and track defects through resolution.
- Analyze logs, crashes, and behaviors to support engineering teams.
- Provide quality status during testing cycles and release checkpoints.
- Run agent evaluation pipelines, including accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests.
Basic Qualifications
- 6+ years in Quality Engineering or Software Testing.
- Bachelor's Degree in an Engineering or Technical discipline.
- Experience writing structured test cases and performing manual and automated tests.
- Basic automation experience (Python, Java, JavaScript, or similar).
- Experience testing Android (Mobile and Tablets), Windows (PC), or cross‑device applications.
- Experience with cloud systems, logs, and debugging tools.
- Experience testing AI models, RAG/LLM systems, perception models, or agentic behaviors.
Preferred Qualifications
- Experience testing AI‑driven features or task workflows.
- Experience with automated test frameworks and CI/CD pipelines.
- Exposure to performance or reliability testing.
- Strong communication and documentation skills.