Senior Embedded Wireless Software Engineer
Tasks
- Characterize antenna performance
- Collaborate on embedded AI research
- Conduct design tradeoff analysis
- Define wireless subsystem architecture
- Design embedded C firmware
- Develop Bluetooth Low Energy systems
- Develop audio scene classification
- Develop beamforming algorithms
- Develop noise reduction algorithms
- Develop spatial audio processing
- Develop wireless communication systems
- Implement machine learning on embedded platforms
- Implement packet loss concealment
- Implement real time DSP algorithms
- Integrate LE Audio and Auracast
- Optimize for low latency
- Optimize for memory footprint
- Optimize for power efficiency
- Perform RF performance testing
- Prototype and validate wireless communication solutions
- Publish technical reports and patents
- Support technology transfer to product teams
- Use RF measurement and debugging tools
Perks/Benefits
- Flexible extra legal benefits
- Growth opportunities
- Homeworking
- Life-work balance
- Onsite training program
Skills/Tech-stack
2.4 GHz | 2.4 GHz wireless | ARM | ARM microcontrollers | Angle of Departure | Angle of arrival | Antenna characterization | Audio Processing | Audio scene classification | Auracast | Beamforming | Bluetooth Audio | Bluetooth Direction Finding | Bluetooth Low Energy | C# | Channel Sounding | DSP | Debugging | Digital Signal | Digital Signal Processing | Direction Finding | Embedded AI | Embedded Linux | Git | LE Audio | Latency optimization | Localization | Low Energy | Machine Learning | Memory Optimization | Neural Networks | Noise Reduction | Packet Loss Concealment | Packet loss | Power Optimization | Python | RF Engineering | RF testing | RTOS | Real Time | Real-time Systems | Scene classification | Signal Processing | Spatial audio | Time Systems | UWB | Wireless Communication | Zephyr RTOS
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
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