Performance Engineer, AI Ecosystem - San Jose & Chicago
Role details
Job location
Tech stack
Job description
- Run manual and automated performance and latency tests on Qira devices (PCs, phones, tablets).
- Execute test plans for coldstart latency, model response times, CPU/GPU load, memory use, battery impact, network conditions, and crossdevice performance.
- Use monitoring tools, logs, and profiling utilities to collect reliable data from devices.
- Set up, configure, and maintain device test stations, including OS builds, Qira versions, and test environments.
- Record, organize, and report performance results to engineering teams in clear, accurate formats.
- Reproduce reported performance issues and validate performance fixes.
- Follow structured processes for device flashing, test updates, and controlled testing conditions., * Accurate and consistent performance measurements across devices and builds.
- Clear reporting of performance changes, trends, and regressions.
- Stable, reliable test conditions and wellmaintained device setups.
- Strong collaboration with engineering teams to support performance investigations.
The base salary budgeted range for this position is $115K - $135K. Individuals may also be considered for bonus and/or commission. Lenovo's various benefits can be found on www.lenovobenefits.com. In compliance with Colorado's EPEWA, the expected application deadline for this position is August 2, 2026. This applies to both external and internal candidates. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations:
- United States of America - Illinois - Chicago
- United States of America
- United States of America - Illinois
- United States of America - Illinois - Chicago
Requirements
- 4+ years of experience running performance or latency tests on software, mobile devices, or hardware systems.
- Bachelor's Degree in an Engineering or Technical discipline
- Experience with Android, Windows, or devicelevel performance tools.
- Experience following structured test plans and accurately capture numerical results.
- Experience working handson with devices, cables, builds, and lab equipment.
- Experience with basic logs, metrics, and debugging steps.
- Hands-on experience testing AI models, RAG/LLM systems, perception models, or agentic behaviors., * Experience with mobile or PC hardware performance testing.
- Exposure to AI/ML workloads or latencysensitive applications.
- Strong attention to detail and clear communication skills.
- Familiarity with device flashing, ADB, performance profilers, or network throttling tools.
- Experience working in an engineering lab or device test environment.