Embedded Systems Engineer at Insight Global Mountain View, CA

Insight Global; Mountain View (CA); On-site; USD 62,000 - 69,000; Full time

Job summary

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.

Qualifications

• 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.

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

Embedded systems

Firmware development

C/C++

RTOS

Embedded ML

Edge sensing

Sensors & interfaces

Education

Bachelor's degree in CS/EE or equivalent

Tools

MCUs

Low-power AI processors

Embedded ML frameworks

Job description

Embedded Systems Engineer job at Insight Global. Mountain View, CA. Job Description Insight Global is looking for a talented Embedded Systems Engineer to join one of our largest technology clients in the Augmented Reality space.

This person will be responsible for:

• 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

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

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.

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 null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances.