Embedded Systems Engineer at Insight Global Mountain View, CA

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

Embedded Systems Engineer job at Insight Global. Mountain View, CA.

This role can pay between $45-$50/hour depending on years of experience and skillset.

Responsibilities

• The architect and development of embedded systems for intelligent edge sensing applications
• Developing firmware and drivers for embedded systems
• Collaborating with ML engineers to implement real-time ML sensing application
• Optimizing embedded ML model performance in terms of power, latency and memory usage
• Create prototypes to demonstrate new edge sensing features

Skills and Requirements

• 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 low-power AI processor, sensor solutions, and overall system architecture
• Proficient in firmware and driver developments for embedded systems
• Proficient in embedded machine learning model development

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters.

Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( .