Google

Senior Software Engineer, XR Embedded, Platforms and Devices

Google • $174K — $252K *
San Jose, CA 95123In-Person
Consumer Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

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 and RTOS.
  • Proficient in firmware and driver development for embedded systems.
  • Experience with low-power AI processors and sensor solutions.

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.
  • Create prototypes to demonstrate new edge sensing features.

Benefits

  • 15% bonus target
  • Equity benefits
Full 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

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

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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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