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.
Understanding real world context is a key enabler of Android’s future as a proactive helpful agent in our users’ daily lives. The Motion Systems and Algorithms team and our partners are building the foundational capabilities and provide a large fraction of the real world input that turns Android devices into amazing tools that simplify a wide range of everyday user journeys.
The Motion Systems and Algorithms Team (MSAT) is at the forefront of location and motion technology. Our mission is to deliver high-quality context and seemingly magical experiences for users in motion. We work on some of the hardest problems in sensor fusion and state estimation, developing and productizing cutting-edge algorithms and ML models that power core features on Android devices and Pixel products.
Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code for highly reliable, resource-constrained motion and location algorithms.
- As a member of MSAT, you'll collaborate on algorithms, system integration, and validation pipelines, touching everything from low-level embedded systems to large-scale Android services.
- Use and expand your knowledge across the wide range of technologies that we use to deliver new features and quality improvements to all users of Android devices.
- Work with a local team, and with remote teams across Google, to enable more accurate, reliable, timely and power efficient location experiences, across the Android ecosystem, and Pixel devices. Build and extend the end user experience of using Location on Android, all the way from external user interfaces, to ML-algorithm development on server and client, to improvements in internal custom tooling and visualization.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent experience in Computer Science, Robotics, Electrical Engineering, a related technical field, or equivalent practical experience.
- 5 years of software development experience in one or more programming languages, including Java, C++, Python, or Kotlin.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture in a high-performance or embedded environment.
- 3 years of experience with: sensor fusion, state estimation, signal processing, or specialization in a related resource-constrained ML field.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Robotics, or a related technical field.
- 5 years of experience with data structures/algorithms, specifically involving spatial algorithms or complex data structures for location technology.
- 1 year of experience in a technical leadership role, mentoring junior engineers or leading complex algorithmic design projects.
- Experience in ML, sensor fusion, signal processing, sensors (inertial, magnetometer, barometer), GNSS and other radio-based signals (Wifi, BT, UWB), embedded and resource constraint computing.
- Experience with data analysis, performance evaluation and visualization.
- Knowledge of motion and location technologies, especially on mobile devices.