Senior Quality Engineer, AI Ecosystem - San Jose & Chicago
About the role
We are looking for an Senior 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.
Responsibilities
- 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.
- Drive model and agent evaluation pipelines, including accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests.
Requirements
This role requires 8+ years in Quality Engineering or Software Testing, a Bachelor's Degree in Engineering or Technical Discipline, basic automation experience (Python, Java, JavaScript, or similar), hands-on experience testing AI models, RAG/LLM systems, perception models, or agentic behaviors, and familiarity with automated test frameworks and CI/CD pipelines.
Qualifications
- Experience testing Android (Mobile and Tablets), Windows (PC), or cross-device applications.
- Familiarity with cloud systems, logs, and debugging tools.
- Strong communication and documentation skills.
Skills
Basic automation experience (Python, Java, JavaScript, or similar).
Benefits
The base salary budgeted range for this position is $180K-200K. Individuals may also be considered for bonus and/or commission. Lenovo’s various benefits can be found on www.lenovobenefits.com.
Pay
The base salary budgeted range for this position is $180K-200K.
Schedule
Hybrid (3 days onsite and 2 days remote)