Hardware Application Engineer

Aspinity is seeking an experienced embedded hardware engineer to join their team. The focus of this role is to develop and deploy low-power, high-performance applications for Aspinity's analog processor solution. The responsibilities include designing and developing application hardware and reference designs, integrating and testing hardware systems, and providing support for end-product integration. The ideal candidate should have a degree in BSEE/CPE/CS with approximately 5 years of relevant industry experience in application design and embedded development.

• Hardware design of low-power, embedded edge sensing and computing systems using Aspinity’s custom processor, off-the-shelf sensors, microcontrollers/DSPs, and low-power radios.
• Specify and design complete board-level systems, including hardware, firmware, and sensor analysis application software.
• Develop and implement complete low-power systems and applications from sensor input to embedded controller/radio.
• Integrate, test, and release hardware reference designs, software development kits, and application proof-of-concepts.
• Interface with customers/partners to support end-product integration and system optimization.

• BSEE/CPE/CS degree with ~5 years of relevant industry experience in application design and embedded development.

• Opportunity to work with a revolutionary analog processor solution
• Design and develop low-power, high-performance applications
• Work on hardware design and development using custom processors, sensors, microcontrollers, and low-power radios
• Develop complete low-power systems and applications
• Integrate, test, and release hardware reference designs and software development kits
• Interface with customers/partners for end-product integration and system optimization
• Solid understanding of analog and digital design fundamentals
• Experience in signal processing, communications, multimedia, or similar domains
• Experience with processor/SoC interfaces and wireless interfaces
• Knowledge of IoT communication protocols
• Experience in signal processing and machine learning
• Strong problem-solving skills
• Fast-paced collaborative work environment
• Opportunity to work in Pittsburgh, PA (preferred location)