Edge AI Embedded Systems Engineer - Real-Time ML

Insight Global; Mountain View (CA); Vor Ort; USD 62.000 - 69.000; Vollzeit

Zusammenfassung

Insight Global is seeking an Embedded Systems Engineer to join a major technology client in the Augmented Reality space in Mountain View, CA. The role focuses on architecting embedded systems for edge sensing and developing firmware and drivers using C/C++.

You will collaborate with ML engineers to deploy real-time sensing applications, optimize ML models for power, latency, and memory, and create prototypes showcasing new features.

Qualifikationen

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
• 3+ years of experience working in an embedded system technical environment.
• Experience in developing machine learning-based image and voice embedded system applications using C or C++.
• Experience with MCUs, RTOS, memories, interfaces, and sensors.
• Proficient in firmware and driver developments for embedded systems.
• Proficient in embedded machine learning model development.

Aufgaben

• Architect and develop embedded systems for intelligent edge sensing applications.
• Develop firmware and drivers for embedded systems.
• Collaborate with ML engineers to implement real-time ML sensing applications.
• Optimize embedded ML model performance for power, latency and memory usage.
• Create prototypes to demonstrate new edge sensing features.

Kenntnisse

Embedded systems

Firmware development

C/C++

RTOS

Embedded ML

Edge sensing

Sensors & interfaces

Ausbildung

Bachelor's degree in CS/EE or equivalent

Tools

MCUs

Low-power AI processors

Embedded ML frameworks

Jobbeschreibung

Insight Global is seeking an Embedded Systems Engineer to join a major technology client in the Augmented Reality space in Mountain View, CA. The role focuses on architecting embedded systems for edge sensing and developing firmware and drivers using C/C++.

You will collaborate with ML engineers to deploy real-time sensing applications, optimize ML models for power, latency, and memory, and create prototypes showcasing new features.