Embedded Validation Engineer (Bangalore Urban)

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. - Valuable 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. .