Build embedded systems for on-device inference, applying hardware accelerator experience to reliable deployments with limited memory and compute.

This engineering work centers on embedded systems and resource-constrained edge devices. Responsibilities include developing inference systems, optimizing models for mobile platforms, and collaborating with device manufacturers. You will also design for constrained environments and implement protections for sensitive data and models.

Key Responsibilities:

- Develop edge inference systems for embedded deployments
- Optimize models across mobile and edge devices
- Work with hardware teams on effective inference solutions
- Ensure reliability under memory and compute constraints
- Implement device security measures for data and models

Requirements:

- Electrical engineering bachelor's or master's degree
- Computer engineering bachelor's or master's degree
- Embedded systems experience
- Hardware accelerator experience
- On-device inference experience

Use embedded systems, hardware accelerators, and inference expertise to develop dependable, secure edge deployments.

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