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Sensor Algorithm Engineer, Pixel

Sensor Algorithm Engineer, Pixel

3 Weeks ago • 5-8 Years • Artificial Intelligence

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

deep-learning

data-structures

foundation

networking

Job Description

Google is seeking a Sensor Algorithm Engineer to develop innovative health and motion features for Wearable and Phone products. Responsibilities include managing applied research, developing sensor fusion and machine learning algorithms leveraging Google hardware and ML/AI innovations, implementing production-level software across the Pixel and Android software stack, optimizing algorithms for performance and power constraints, and developing data collection plans. The role requires expertise in machine learning, signal processing, and experience with embedded systems. The ideal candidate will have a strong background in software development, algorithm design, and data analysis. They will contribute to the development of cutting-edge sensor technologies for Google's hardware products.

Must have:

5+ years software development experience
3+ years experience with ML algorithms
Experience with embedded systems
Strong software design & architecture skills
Develop and deploy production software

Good to have:

Master's/PhD in CS or related field
Experience with foundation models and LLMs
Expertise in signal processing
Experience productizing ML solutions in embedded environments
Experience with time-series data

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
Experience working on one project in a resource-constrained environment (e.g., a phone, embedded device, or something similar).
Experience productizing machine learning solutions in embedded environments.
Experience developing algorithms for time-series data (e.g., inertial sensors, audio, and radar).
Expertise with machine learning methods including foundation models and Large Language Model (LLMs).
Expertise in signal processing (e.g., filtering, detection).

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 technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

Responsibilities

Manage applied research and data analysis focused on realizing innovative high-quality health and motion related features for Wearable and Phone products.
Develop sensor fusion and machine learning algorithms that leverage Google hardware and latest innovations in ML/AI.
Implement and deploy production-level software across multiple layers of the Pixel and Android software stack.
Optimize algorithms across performance requirements, signals of opportunity, availability of other sensor inputs, and system level power constraints.
Develop and execute plans for collecting high quality, labelled sensor data.

View Full Job Description

$161.0K - $239.0K/yr (Outscal est.)

$200.0K/yr avg.

Worldwide

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.