Performance Engineer - AI Ecosystem
reputed company is a global technology powerhouse focused on delivering Smarter Technology for reputed company. The Performance Engineer will run hands-on performance and latency tests for Qira on physical devices, focusing on collecting accurate performance measurements and reporting results to engineering teams.
Responsibilities
- Run manual and automated performance and latency tests on Qira devices (PCs, phones, tablets)
- Execute test plans for cold‑start latency, model response times, CPU/GPU load, memory use, battery impact, network conditions, and cross‑device 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
Skills
- Experience running performance or latency tests on software, mobile devices, or hardware systems
- Bachelor's Degree in an Engineering or Technical Discipline
- Basic understanding of Android, Windows, or device‑level performance tools
- Experience following structured test plans and accurately capture numerical results
- Experience working hands‑on with devices, cables, builds, and lab equipment
- Experience with basic logs, metrics, and debugging steps
- Ability to work on‑site in Chicago (no remote option)
- Experience with mobile or PC hardware performance testing
- Exposure to AI/ML workloads or latency‑sensitive 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
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