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 employer: TAIRC
TAIRC is an exceptional employer that prioritizes ethical AI initiatives and fosters a collaborative work culture. Located in a vibrant community, we offer our employees opportunities for professional growth through comprehensive training programs and a commitment to continuous learning. Join us to make a meaningful impact in the field of AI governance while enjoying a supportive environment that values innovation and integrity.
