Senior Software Engineer, XR Embedded, Platforms and Devices

Google; Town of Montana (WI); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google is seeking a Senior Software Engineer for XR Embedded in Platforms and Devices. You will architect and develop embedded systems for intelligent edge sensing, collaborating with ML engineers to deploy real-time ML sensing applications.

The role emphasizes power, latency, and memory optimization for XR devices. The team works on lightweight XR devices and AI-enabled experiences, offering equity and a strong total rewards package.

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 MCUs, RTOS, memories, interfaces (I2C, SPI, UART, MIPI, CSI2, I3C, BLE), and sensors.
• Experience with firmware and driver developments for embedded systems.
• Experience with low-power AI processor, sensor solutions, and overall system architecture.

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.

Skills

C/C++

Embedded systems design

Firmware & drivers

Embedded interfaces

Low-power AI sensing

Python

TensorFlow / ML

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

Python

TensorFlow

Job description

Senior Software Engineer, XR Embedded, Platforms and Devices

Location: San Jose, CA, USA

Experience Level: Mid

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 Salary

$174,000 - $252,000 (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.

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Equal Opportunity

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.

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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.

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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.