Senior Software Engineer, XR Embedded, Platforms and Devices

Google; United States; Vor Ort; USD 174.000 - 252.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

Google is seeking a Senior Software Engineer for XR Embedded work in San Jose, CA (Mid level). You will develop embedded software, firmware, and drivers for edge sensing devices, collaborating with ML teams to deploy real-time AI at the edge.

Focus areas include power, latency, and memory optimizations for XR platforms and devices, with opportunities to influence system architecture and hardware-software integration.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

C/C++ development

Embedded systems design

Low-power AI/edge devices

Firmware/Driver development

Sensor interfaces (I2C/SPI/UART/BLE)

Ausbildung

Bachelor’s degree or equivalent

Master’s degree or PhD in CS or related

Tools

Python

RTOS

MCUs

Jobbeschreibung

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.

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.

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.