Full Description

Job Summary We are seeking an Embedded Audio & ML Application Validation Engineer to validate MCU-based audio, voice, and machine learning applications on target hardware. The engineer will measure and report audio and voice activation KPIs, execute acoustic lab measurements, analyze power behavior, compare firmware-level performance, and document defects and validation outcomes. Key Responsibilities Validate MCU-based audio, voice, and machine learning applications on target hardware against test plans and release criteria. Measure and report power, wake-word or voice trigger behavior, latency, reliability, and related voice activation KPIs. Perform acoustic lab measurements under defined quiet, noisy, near-field, and far-field conditions. Execute repeatable test procedures, maintain measurement data, and compare KPIs across firmware versions and configurations. Support power analysis for always-on and low-power voice activation modes. Identify and flag firmware regressions or major performance changes. Perform basic debugging using logs, traces, lab observations, and measurement equipment. Document results, KPI trends, issues, observations, and recommended next steps. Required Technical Skills Mandatory 4-6 years in embedded validation, application testing, firmware testing, or performance measurement on MCU platforms. Working knowledge of Python or similar scripting for automation, log parsing, KPI collection, and reporting. Good C programming knowledge and basic embedded debugging skills. Basic understanding of MCU architecture, low-power modes, peripherals, and real-time behavior. Basic hardware knowledge and ability to use lab instruments for board checks and power measurements. Good documentation skills for results, trends, issues, and recommended actions. Preferred Skills Exposure to audio or voice use cases such as wake-word, VAD, AEC, noise suppression, or audio front-end validation. Familiarity with PDM microphones, I2S/TDM, I2C, SPI, UART, DMA, and common MCU interfaces. Experience in acoustic lab measurements for voice or audio performance. Understanding of trade-offs between accuracy, latency, CPU load, memory usage, and power. Educational Qualification

B. Tech / M.Tech in Electronics, Electrical Engineering, Computer Science, Embedded Systems, or a related field.