1

Embedded Google Jobs (NOW HIRING)

next page

Showing results 1-20

Embedded Google information

See salary details

$70K

$153.4K

$174K

How much do embedded google jobs pay per year?

As of Aug 31, 2026, the average yearly pay for embedded google in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an embedded Google engineer?

Embedded Google engineers are professionals who specialize in developing software and systems that integrate Google's technologies into embedded devices. These engineers work on hardware with limited resources, such as IoT devices, smart home products, or automotive systems, ensuring that Google's services and applications run efficiently and securely. Their work often involves optimizing code, working with hardware interfaces, and collaborating closely with both hardware and software teams.

What are some typical challenges faced by embedded Google engineers when integrating Google technologies into hardware products?

Embedded Google Engineers often face challenges related to optimizing resource usage, such as memory and power, when integrating Google services into hardware devices. Ensuring seamless communication between software and hardware components while maintaining security and reliability can be demanding, especially in constrained environments. Additionally, staying updated with the latest Google APIs and best practices is crucial, as the ecosystem evolves rapidly. Collaboration with cross-functional teams, including hardware designers and cloud specialists, is a key part of overcoming these challenges.

What are the key skills and qualifications needed to thrive as an embedded engineer, and why are they important?

To thrive as an Embedded Engineer, you need a strong background in computer engineering or electrical engineering, with expertise in programming languages like C/C++ and knowledge of hardware-software integration. Familiarity with embedded operating systems (like RTOS), microcontrollers, debugging tools, and sometimes certifications like Certified Embedded Systems Engineer are commonly required. Problem-solving, attention to detail, and effective communication are critical soft skills for success in this role. These skills are essential to ensure reliable, efficient embedded system design and seamless collaboration within cross-functional engineering teams.
More about Embedded Google jobs

What cities are hiring for Embedded Google jobs?

Cities with the most Embedded Google job openings:

What states have the most Embedded Google jobs?

States with the most job openings for Embedded Google jobs include:

What job categories do people searching Embedded Google jobs look for?

The top searched job categories for Embedded Google jobs are:

Infographic showing various Embedded Google job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Senior Software Engineer, XR Embedded, Platforms and Devices

Google

San Jose, CA • On-site

$145K - $190K/yr

Full-time

Posted 5 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in C/C .
  • Experience 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).
  • Experience with firmware and driver developments for embedded systems.
  • Experience with low-power AI processor, sensor solutions, and overall system architecture.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • Experience in distributed machine learning, machine learning infrastructure, distributed systems, and machine Learning algorithms at scale.
  • Experience in training and optimizing deep learning models (e.g., convolutional neural networks, recurrent neural networks, or transformers).
  • Experience in C/C , Python, and embedded software development for embedded systems.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
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 features.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom