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Sensor Algorithm Engineer Jobs in California (NOW HIRING)

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

Lead Sensors Engineer / Sensor Architect You'll own sensor architecture and sensing system ... Deep expertise in PPG (Photoplethysmography), optical sensing, and heart-rate/HRV algorithm ...

Apple

Calibration Algorithm Architect

Cupertino, CA · On-site

... engineering experience Extensive knowledge of camera technologies including image sensor operation ... algorithms (AWB, AGC, AF, OIS), actuators, and optics Expertise in camera and image quality ...

Lyte

Senior PHY-Algo Engineer

Sunnyvale, CA · On-site

$150K - $250K/yr

We are seeking a Senior PHY Algorithm Engineer to join our team and contribute to the development ... sensor platforms * Strong foundation in signal processing, including spectrum analysis, filter ...

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Sensor Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a sensor algorithm engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a sensor algorithm engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a sensor algorithm engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

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What job categories do people searching Sensor Algorithm Engineer jobs in California look for?

The top searched job categories for Sensor Algorithm Engineer jobs in California are:

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Sensor Algorithm Engineer jobs near you

Sr. Applied Scientist, Sensors, Sensor Algorithms

Amazon

Sunnyvale, CA • On-site

$107K - $146K/yr

Full-time

Re-posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We're seeking a Senior Applied Scientist to pioneer sensor-based algorithms that power next-generation experiences across Amazon's device ecosystem, including Echo, Kindle, Fire TV, and Fire Tablets. Working with multidisciplinary teams of scientists and engineers, you'll develop innovative technologies at the intersection of signal processing and machine learning that transform how millions of customers interact with our products.
The ideal candidate combines strong theoretical foundations in machine learning and signal processing with practical implementation skills. You'll develop state-of-the-art sensor algorithms from concept to production, translate complex research problems into practical consumer technologies, and create solutions optimized for diverse hardware platforms.
We're looking for someone who thrives in fast-paced environments, solves complex problems efficiently, and iterates quickly based on real-world feedback

Your technical decisions will directly shape future product capabilities and deliver exceptional experiences to Amazon customers worldwide.
Key job responsibilities
- Develop and implement advanced algorithms and machine learning models to enhance Amazon's products and services.
- Collaborate with cross-functional teams, including software engineers, scientists, and product managers to translate business needs into technical solutions.
- Conduct thorough data analysis to identify trends, patterns, and insights that drive product innovation and improvement.
- Optimize algorithms for performance, scalability, and efficiency across various Amazon platforms.
- Present findings and recommendations to stakeholders, influencing product strategy and decision-making.
- Stay abreast of the latest research and technological advancements in machine learning and related fields to continuously improve Amazon's offerings.
- Mentor and guide junior scientists and engineers, fostering a culture of learning and innovation.
- Ensure the ethical use of data and algorithms, adhering to Amazon's guidelines and best practices.
- Contribute to the publication of research findings in conferences and journals, elevating Amazon's reputation in the scientific community.
About the team
At Amazon Lab126, we're a pioneering research and development hub dedicated to designing and engineering revolutionary consumer electronics. Established in 2004 as a subsidiary of Amazon.com, Inc., we've been at the forefront of innovation, starting with the creation of the best-selling Kindle family of products. Our portfolio has since expanded to include transformative devices such as Fire tablets, Fire TV, and Amazon Echo.
Our Lab126 team is dedicated to developing advanced sensing technologies and algorithms, collaborating with program managers to design and implement transformative user features and experiences.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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