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Benefits & Perks
•Flexible work arrangements
•Professional development budget
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Flexible Hours
•Learning
•Equity
•Healthcare
Required Skills
Python
JavaScript
PostgreSQL
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.
With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.
In this role, you will lead a specialized team of Software Engineers who operate at the intersection of Hardware, Software, and Artificial Intelligence.
Your team’s mission is to efficiently develop innovative Pixel experiences by leveraging the variety of sensor signals available on the device. This is a pivotal leadership role that requires deep skills in real-time embedded software development together with expertise in algorithms (e.g., Heuristics and AI) to build exciting features leveraging sensor data in a power-friendly manner.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Apply extensive experience in hardware, AI, and software technologies relevant to the mobile phone form factor.
- Diagnose and debug hardware and software issues to ensure system stability.
- Employ creative and critical thinking to troubleshoot complex problems and communicate findings effectively.
- Utilize OS tools and UNIX/Linux internal knowledge to deliver high-quality end-user products.
- Develop testing and verification methods that ensure an efficient and consistent development rhythm. Architect and build sensor fusion algorithms (e.g., Heuristic and Machine Learning) for optical and motion technologies.
Minimum qualifications
-
Bachelor's degree or equivalent practical experience.
-
8 years of experience in software development.
-
5 years of experience with Computer Vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing; and experience with various algorithms and design techniques.
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5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
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3 years of experience in a technical leadership role.
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2 years of experience in a people management or team leadership role.
Preferred qualifications
-
Master's degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent practical experience.
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Experience in software development, programming in C, C++, script, or Android programming.
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Experience in AI/ML development, signal processing, micro-controller selection and various digital communication protocols and interfaces (e.g., GPIO, SPI, I2C and UART).
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Experience in sensor core architecture with demonstrated skills in implementing sensor fusion algorithms.
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Understanding and applying principles of software development and key concepts in computer architecture.
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Knowledge of estimation theory (e.g., Kalman Filters, EKF, etc.), hardware performance monitors, and profiling.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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