Optimize edge inference systems for mobile devices and embedded platforms while designing secure, reliable solutions for constrained environments.

This engineering role focuses on resource-constrained deployments across edge devices and embedded systems. You will develop on-device inference, collaborate with hardware teams, and address limited memory and compute. The work also includes protecting sensitive data and models on devices through security measures.

Key Responsibilities:

- Optimize models for mobile and edge devices
- Develop inference systems for edge deployments
- Collaborate with device manufacturers and hardware teams
- Design reliable systems for limited memory and compute
- Protect sensitive data and models on devices

Requirements:

- Bachelor's or master's degree in electrical engineering
- Bachelor's or master's degree in computer engineering
- Experience with embedded systems
- Experience with hardware accelerators
- Experience with on-device inference

Apply edge engineering expertise across inference optimization, embedded systems, hardware collaboration, reliability, and device security.

📌 Edge Inference Systems Engineer (Niagara-on-the-Lake)
🏢 TAIRC
📍 Niagara-on-the-Lake