Join the Ultra Low Power Audio Group at Analog Devices Inc. as a Senior System Applications Engineer to shape the future of audio by developing adaptive, personalized, and contextually aware consumer audio technologies. As a key member of the multi-disciplinary team, you will work on system integration across embedded consumer platforms, addressing application-level challenges in the low-power consumer audio market.
Requirements
- 2+ years of experience in Product Development roles within the Electronics industry
- Bachelor’s, Master’s or PhD degree in Electronic/Electrical Engineering, Embedded Firmware/Software Engineering, or a related field
- Experience with ARM/DSP/FPGA/BT platforms is a plus
- System Engineering methodologies and HW/SW product development flows, including requirements capture (e.g., Jama), integration, verification, and validation
- Signal processing and multi-core development in the audio domain; experience with DSP cores (e.g., Cadence HiFi) and ARM cores is an advantage
- Bluetooth and wireless protocols, including Wi-Fi and UWB
- Mixed-signal audio chains, specifically Analog audio architecture (e.g., ADC, PGA, Class D amplifiers) and performance metrics (e.g., SNR, THD)
- Battery management and power topologies for efficient low-power hearables (beneficial but not required)
- Customer technical support at product and system level, including remote and face-to-face engagements
- Testing and debugging techniques, with proficiency in tools such as oscilloscopes, audio analysers (Audio Precision), and wireless protocol analysers
- Delivery of system-level collateral for internal and external stakeholders, including hardware, software, and documentation
- Ability to work with multi-disciplinary Global distributed teams and influencing stakeholders across hardware, software, and business domains.
- PCB development flow (schematic, layout, manufacturing) – beneficial but not required
- Programming in C, C++, or Python, and familiarity with software development tools and flows (e.g., Git, JIRA, Jenkins)
- Exposure to machine learning frameworks (TensorFlow, Caffe, PyTorch) – beneficial but not required
Benefits
- 401k Matching
- Generous Paid Time Off
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
