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Sensor Algorithm Engineer Jobs in Canby, OR (NOW HIRING)

Sr. Software Developer - iOS Apps

Portland, OR · On-site

$63.75 - $82.50/hr

... sensor networks, street navigation, and more • Solve complex problems with design, development ... algorithms • App development issues related to performance optimization and caching • Good ...

Sr. Software Developer - iOS Apps

Portland, OR · On-site

$63.75 - $82.50/hr

... sensor networks, street navigation, and more • Solve complex problems with design, development ... algorithms • App development issues related to performance optimization and caching • Good ...

PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... Classification and regression on tabular and sensor data, predictive maintenance and failure ...

Sensor Algorithm Engineer information

See Canby, OR salary details

$62.2K

$116.8K

$212.3K

How much do sensor algorithm engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for sensor algorithm engineer in Canby, OR is $116,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $138,600.00 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.
Product Engineer 3

Full-time

Posted 10 days ago


Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

39th of 418 rated machine equipment manufacturers


Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
We are seeking a top-tier candidate to work on integration, testing, and analysis of diverse sensor technologies-including vision systems and other time-series sensors-for our advanced products. The ideal candidate will work in a cross-functional role, collaborating with engineering teams and vendors to develop robust infrastructure for accurate data acquisition, processing, and performance validation. This role also involves supporting field teams virtually or on-site as needed.
What you'll do
  • Collaborate with cross-functional and cross-cultural teams to guide the specification and development of products.
  • Debug optical, electrical, mechanical, and signal integrity issues during sensor module development.
  • Perform comprehensive characterization of imaging sensors, time-series sensors (e.g., thermal, acoustic, vibration), and associated signal processing pipelines.
  • Collaborate with cross-functional teams to identify, implement, and validate improvements in sensor data capture and processing across hardware and software.
  • Apply engineering theories and research techniques to investigate, troubleshoot, and resolve technical challenges.
  • Plan and execute research to advance sensor analytics, including image/video processing and time-series signal analysis for semiconductor equipment.
  • Develop algorithms and workflows for sensor fusion, anomaly detection, and predictive modeling using multi-modal data.
  • Assess effectiveness and accuracy of models and data acquisition techniques.
  • Develop, train, and deploy models for optimizing customer experience and equipment reliability.
  • Create test plans, documentation, and reports for sensor validation and performance metrics.
  • Support process engineers by running recipes and coordinating sensor-based measurements on process modules..
  • Maintain a high degree of customer engagement including face-to-face and international travel to customer sites supporting near term product releases and solve customer issues.
  • Work in a cleanroom lab and/or customer semiconductor fab environment.

Who we're looking for
Minimum Qualifications:
  • BS/MS/PhD in Electrical Engineering, Computer Science, Mechanical Engineering, Physics, Applied Mathematics, or related disciplines.
  • Strong experience in signal processing, sensor integration, and data analysis for imaging and non-imaging sensors.
  • Proficiency in image processing, computer vision, and time-series analysis algorithms.
  • Expertise in scripting languages such as Python or MATLAB; familiarity with scientific computing libraries.
  • Knowledge of sensor calibration methods (e.g., camera calibration, sensor alignment) and data acquisition systems.
  • Familiarity with software test methodologies, Design of Experiments, and performance validation.
  • Strong problem-solving and troubleshooting skills across hardware and software domains.
  • Ability to learn new technologies and complete projects with minimal guidance.
  • Comfortable with multiple software tools and basic system/network troubleshooting.

Preferred qualifications
  • Experience with Python and the scientific stack (NumPy, SciPy, Pandas, OpenCV).
  • Background in sensor fusion, anomaly detection, and predictive analytics.
  • Working knowledge of network protocols and streaming data analytics.
  • Experience with thermal imaging, spectroscopy, vibration/acoustic sensors, or other non-vision sensing modalities.
  • Familiarity with semiconductor processing and equipment operations (Lam Research experience is a plus).
  • Exposure to machine learning techniques for image classification, segmentation, and time-series forecasting.

In this role, you will partner with subject matter experts and collaborate with hardware, electrical, software, and algorithm teams to build representative test systems and prototypes for multi-sensor integration and analytics.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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