Job opportunity
Edge Inference Systems Engineer
TAIRC
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.
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Apply on source site 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.
#J-18808-Ljbffr