Technical Lead, Neuromorphic Audio Systems

7 days ago

Montreal, Quebec, Canada RECHO AI Full time

About Us

RECHO AI Inc. is a Montreal-based deep-tech startup transforming edge computing with its Software Platform and proprietary Reservoir Processing Unit (RPU) technology. By combining MEMS transducer dynamics and reservoir computing, we enable ultra-efficient edge AI that processes time-series signals directly at the sensor. Our technology brings intelligence to places where traditional cloud-based or high-power AI cannot operate — from remote or power-limited environments to large-scale IoT deployments.

About the Role

We're looking for a Technical Lead to lead innovation at the intersection of AI architectures and hardware sensing. You'll help shape RECHO AI's technology roadmap, bridging AI model design, analog and low-power computing, and MEMS-based sensor systems. The ideal candidate has a strong technical foundation in either AI architectures (e.g., on-device/edge learning, analog computing, AI chips) or audio/MEMS systems, paired with an entrepreneurial mindset and the ability to communicate across disciplines.

Key Responsibilities

  • Drive the development of AI and embedded intelligence directly on MEMS-based sensors and low-power devices
  • Collaborate with the leadership team to define and execute the technology strategy and product roadmap
  • Design and prototype novel architectures for in-sensor computing, edge AI, and time-series signal processing
  • Evaluate and integrate analog and neuromorphic computing concepts for real-time, energy-efficient inference
  • Lead collaborations with partners in the MEMS, IoT, and AI hardware ecosystems
  • Contribute to customer engagements, technical discussions, and fundraising through clear, strategic communication

Qualifications

  • Deep technical expertise in either AI architectures or MEMS/audio/sensing systems
  • Experience with one or more of the following:
  • Analog computing, low-power or on-sensor AI
  • Reservoir computing, neuromorphic design, or edge inference
  • Signal processing for audio or time-series data
  • Proven ability to work in a fast-moving startup environment with cross-functional teams
  • Excellent communication and problem-solving skills
  • Curiosity, creativity, and a drive to explore unconventional technical solutions
  • PhD in Electrical Engineering, Computer Engineering, Physics, or related field preferred — or equivalent experience

Why Join Us

  • Help redefine what's possible in edge intelligence and AI hardware
  • Work with cutting-edge IP and researchers at the forefront of reservoir computing
  • Collaborate with industry partners in IoT, MEMS, and advanced manufacturing
  • Be part of a collaborative and ambitious team shaping the next generation of intelligent sensing
  • Competitive compensation with equity participation and performance-based incentives

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