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Sensor Algorithm Engineer Jobs (NOW HIRING)

... sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production-quality ...

... sensor data acquisition through to the software layer. You will work closely with algorithm engineers, firmware engineers, and software teams to bring algorithm prototypes into production-quality ...

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment * Perform ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Showing results 41-60

Sensor Algorithm Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do sensor algorithm engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for sensor algorithm engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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 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.

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.

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.

More about Sensor Algorithm Engineer jobs

What cities are hiring for Sensor Algorithm Engineer jobs?

Cities with the most Sensor Algorithm Engineer job openings:

What states have the most Sensor Algorithm Engineer jobs?

States with the most job openings for Sensor Algorithm Engineer jobs include:

Infographic showing various Sensor Algorithm Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Display Algorithm Engineer / Machine Learning Engineer

Apple

San Francisco, CA • On-site

Full-time

Posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

The Display Intelligence team in the Visual Experience & Incubation organization has worked on color calibrations including gray tracking, gamma cal, uniformity, primary, as well as display features such as True Tone, ambient light sensor confidence estimator, Auto Brightness, spatial computing display interplay and many other novel features to enable the best front-of-screen user experience. Many new display technologies bring ever evolving challenges in imaging & sensing, requires innovations in signal and image processing, color imaging and machine learning algorithms. The expanding Apple product lines also create exciting opportunities for novel display prototypes and productization to deliver the best ecosystem experience.
Description
We are looking for passionate scientists and engineers that have strong background in signal and image processing, color imaging, and machine learning.
Minimum Qualifications
Bachelors Degree in Science, Technology, Engineering or equivalent, 3+ years of experience in imaging or machine learning.
Strong hands-on skill on ML algorithm development.
Solid background in signal and image processing or color imaging.
Experience with Python, including familiarity with crucial package such as PyTorch, Tensorflow etc.
Preferred Qualifications
M.S./PhD in Science, Technology, Engineering (e.g. Color and/or Imaging Science, Computer Science, Electrical Engineering) or equivalent field and 5+ years of relevant experience
Familiarity with agentic AI technology and applications
Exceptional written and verbal communication skills, especially in the communication of technical concepts to a cross-functional team as well as leadership
Proven ability to work collaboratively within a large group of engineers
Proactive, self-motivated engineer who can take the initiative and lead improvement, drive & meet key project targets

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976