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Sensor Algorithm Engineer Jobs (NOW HIRING)

Applied Materials

Algorithm Developer

Santa Clara, CA · On-site

$131K - $180K/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 ...

Apple

HID Algorithms Engineer

Cupertino, CA

$147K - $272K/yr

... 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 ...

Apple

HID Algorithms Engineer

Cupertino, CA

$147K - $272K/yr

... 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 ...

Amat

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 ...

Applied Materials

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 ...

Amat

Algorithm Developer

Santa Clara, CA · On-site

$131K - $180K/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 ...

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Sensor Algorithm Engineer information

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$59.5K

$111.6K

$203K

How much do sensor algorithm engineer jobs pay per year?

As of Jun 18, 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 is the definition of sensor?

A sensor is a device used by a Sensor Algorithm Engineer to detect and measure physical properties such as temperature, pressure, or motion. It converts these measurements into signals that can be processed by algorithms to interpret environmental conditions or system states. Understanding sensor types and characteristics is essential for developing accurate and reliable sensor-based 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.

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 censor and sensor?

In the context of a Sensor Algorithm Engineer role, a sensor is a device that detects physical properties like temperature, motion, or light and converts them into signals for processing. Censor is not a standard term in this field; it may be a misspelling or confusion with 'censor,' which means to suppress or hide information. Understanding sensor types and their data processing is essential for developing effective algorithms in this role.

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.

What is a synonym for sensor?

A sensor is a device that detects and measures physical properties such as temperature, pressure, or motion. In the context of a Sensor Algorithm Engineer, understanding different types of sensors and their functions is essential for developing accurate algorithms and processing data effectively.

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 a sensor also known as?

A sensor is also known as a transducer or detector, as it converts physical stimuli into electrical signals for processing. Sensor algorithm engineers often work with these devices to develop accurate data interpretation algorithms.
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Sensor Algorithm Engineer jobs near you
Infographic showing various Sensor Algorithm Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Engineer II - Algorithm Engineer, Perception

Engineer II - Algorithm Engineer, Perception

Magna

Lowell, MA • On-site

$66K - $124K/yr

Full-time

Posted 8 days ago

Job description

Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
JOB SUMMARY
We are seeking an experienced Perception Development Engineer specializing in automotive radar target tracking to develop next-generation safety and driver assistance systems.
In this role, you will design and enhance tracking and stationary environment modelling algorithms that enable robust environment perception using radar sensors. You will work in a highly dynamic, multi-project environment, delivering high-quality solutions across multiple customers and programs.
This position is ideal for engineers with a strong background in radar signal processing and multi-target tracking, with optional exposure to machine learning-based perception techniques.
JOB FUNCTIONS (ESSENTIAL)
  • Design and develop radar-based perception and target tracking algorithms for ADAS to improve perception performance, including extended object tracking and point cloud processing
  • Implement and integrate algorithm software modules for embedded real-time systems and in-vehicle testing
  • Analyze defects and test results to ensure KPI achievement by root causing the issues and designing algorithm improvements
  • Perform testing and validation (simulation, unit test, and vehicle-level) to ensure robustness and accuracy
  • Collaborate with cross-functional and global teams to deliver end-to-end solutions
  • Participate in Agile development, including process compliance, code reviews and continuous integration
  • Conduct technical research to explore new methods for improving system performance
  • Thrive in a fast-paced, high-tech environment supporting multiple projects

Education/Experience
  • Bachelor or Master degree in Electrical/Computer Engineering, Computer Science, Robotics or related fields (Master preferred)

Technical Knowledge
  • A minimum of 3+ years of industrial experience in in one or more of the following areas: Extended Object Detection/Segmentation/Tracking, Point cloud processing in Lidar, Radar, Vision, or Sensor fusion
  • Knowledge of probabilistic estimation and filtering techniques
  • Experiences on fast Machine Learning development cycle; Solid experience on applying Machine Learning technologies to Lidar, Radar or sensor fusion is a plus
  • Strong mathematical and problem-solving skills; Knowledge of radar principles and measurement models is a plus
  • Hands-on experience in algorithm development and realization in embedded real-time system
  • Strong debugging, performance analysis, and problem-solving skills

Hiring Salary Range: $66,000 - $124,000 (Salary to be determined by the education, experience, knowledge, skills and abilities of the applicant, internal equity and alignment with market data)
This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Electronics

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