Edge ML Embedded Systems Engineer (Real-Time, Low-Power)

Insight Eye Care; Mountain View (CA); On-site; USD 61,992 - 68,880; Full time

Job summary

Insight Global is seeking an Embedded Systems Engineer in Mountain View, CA to architect and develop embedded systems for intelligent edge sensing. You will craft firmware and drivers, work with ML engineers on real-time sensing applications, and optimize ML models for power, latency, and memory usage.

Qualified candidates should have a 3+ year track record in embedded environments, experience with C/C++, MCUs, RTOS, sensors, and embedded ML development.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
• 3+ years of experience in an embedded systems environment.
• Experience developing machine learning-based image and voice embedded applications using C or C++.

Responsibilities

• 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.

Skills

C/C++

Embedded systems

RTOS

MCUs

Sensors

Embedded ML

Education

Bachelor's degree in CS/EE or equivalent

Job description

Insight Global is seeking an Embedded Systems Engineer in Mountain View, CA to architect and develop embedded systems for intelligent edge sensing. You will craft firmware and drivers, work with ML engineers on real-time sensing applications, and optimize ML models for power, latency, and memory usage.

Qualified candidates should have a 3+ year track record in embedded environments, experience with C/C++, MCUs, RTOS, sensors, and embedded ML development.