{"schemaVersion":"jobsearcher.job.v1","id":"e6b5785e4499bb33cd4bab3b","url":"https://jobsearcher.com/jobs/e6b5785e4499bb33cd4bab3b","canonicalUrl":"https://jobsearcher.com/jobs/e6b5785e4499bb33cd4bab3b","title":"Embedded System Engineer","description":"Title: Embedded Systems Engineer / firmware engineer/ low level software engineerCompany: GooglePay: $38-$47Duration: LONG TERM, high potential to convertLocation: 5x a week onsite in mountain viewInterviews: 2 roundsHere you will be working with intelligent systems for consumer devices/ consumer electronics within the AR/VR space at Google. This is an onsite requirement in Mountain View,CA. You will collaborate with ML engineers like to optimize ML models for power, latency, memory usage, prototypes for new features. It is highly desirable if he or she knows more than embedded systems but also has ML experience. You will help with firmware for memory usage, good power consumption, latency and more.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 in terms of power, latency, and memory usage● Create prototypes to demonstrate new edge sensing featuresOnsite in mountain view 5x a weekMinimum QualiBachelor’s degree in Computer Science, Electrical Engineering, a related, or equivalent practical experience4 years of experience working in an embedded system technical environment or 3 years of experience with an advanced degree.experience in developing machine learning-based image and voice embedded system applications using C, C++, PythonExperience designing and architecting embedded systems including but not limited to MCUs, RTOS, memories, interfaces (e.g. I2C, SPI, UART, MIPI, CSI2, I3C, and BLE), and sensors (imaging and non-imaging)Preferred qualifications:Masters or PHDLow power AI processor, sensor solutions, and overall system architecture.ML experience or working with ML engineersExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.","company":"Insight Global","rawCompany":"insight global","city":"Mountain View","state":"HI","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:10:26.390Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Embedded System Engineer","description":"Title: Embedded Systems Engineer / firmware engineer/ low level software engineerCompany: GooglePay: $38-$47Duration: LONG TERM, high potential to convertLocation: 5x a week onsite in mountain viewInterviews: 2 roundsHere you will be working with intelligent systems for consumer devices/ consumer electronics within the AR/VR space at Google. This is an onsite requirement in Mountain View,CA. You will collaborate with ML engineers like to optimize ML models for power, latency, memory usage, prototypes for new features. It is highly desirable if he or she knows more than embedded systems but also has ML experience. You will help with firmware for memory usage, good power consumption, latency and more.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 in terms of power, latency, and memory usage● Create prototypes to demonstrate new edge sensing featuresOnsite in mountain view 5x a weekMinimum QualiBachelor’s degree in Computer Science, Electrical Engineering, a related, or equivalent practical experience4 years of experience working in an embedded system technical environment or 3 years of experience with an advanced degree.experience in developing machine learning-based image and voice embedded system applications using C, C++, PythonExperience designing and architecting embedded systems including but not limited to MCUs, RTOS, memories, interfaces (e.g. I2C, SPI, UART, MIPI, CSI2, I3C, and BLE), and sensors (imaging and non-imaging)Preferred qualifications:Masters or PHDLow power AI processor, sensor solutions, and overall system architecture.ML experience or working with ML engineersExact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.","datePosted":"2026-08-25T11:10:26.390Z","dateModified":"2026-08-25T11:10:26.390Z","hiringOrganization":{"@type":"Organization","name":"Insight Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"HI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e6b5785e4499bb33cd4bab3b"},"url":"https://jobsearcher.com/jobs/e6b5785e4499bb33cd4bab3b"}}