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.

📌 Embedded Validation Engineer (Bangalore Urban)
🏢 UST
📍 Bangalore Urban