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Sensor Algorithm Engineer Jobs in New Mexico (NOW HIRING)

Arcfield

Sensor Engineer IV

Las Cruces, NM · On-site

Responsibilities We are looking for a SENSOR SYSTEMS ENGINEER to join a skilled, highly respected ... Algorithm assessment to quantify the performance of a product given desire mission application

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Sensor Algorithm Engineer information

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.
What are popular job titles related to Sensor Algorithm Engineer jobs in New Mexico? For Sensor Algorithm Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in New Mexico look for? The top searched job categories for Sensor Algorithm Engineer jobs in New Mexico are:
Sensor Algorithm Engineer jobs near you
Sensor Engineer IV

Sensor Engineer IV

Arcfield

Las Cruces, NM • On-site

Full-time

Posted 15 days ago

Job description

Responsibilities
We are looking for a SENSOR SYSTEMS ENGINEER to join a skilled, highly respected, and long-standing team supporting New Capabilities Integration efforts for emerging systems. The successful candidate will support product evaluations, quality studies, new product initializations, and/or product algorithm assessments. The candidate should have a working understanding and practical application of modeling components of the image path, including sensor, detector, atmospheric, and material properties. Familiarity with current systems and products will be necessary to develop, assess, and execute test and verification methodologies. Activities include, but are not limited to:
  • Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain
  • Algorithm assessment to quantify the performance of a product given desire mission application
  • Performing baseline assessment of system performance to support sensor initialization
  • Operational monitoring of system performance over time
  • Responding to detected errors and artifacts by recommending possible causes and corrective actions

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • 8 to 10 years of experience with a BS, 6 to 8 years with a MS, or 3 to 5 years with a PhD
  • A degree in Imaging Science or Engineering
  • Experienced in Image Science (Phenomenology, Sensor technology, Image Processing)
  • Understanding of Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data.
  • Understanding and application of image quality standards, scales, metrics, and image quality equations.
  • Applied knowledge of sensor imaging systems, products, and exploitation processes
  • Understanding of the systems engineering lifecycle, including independent testing and data verification
  • Strong written and oral communication skills
  • Ability to work independently as well as part of a team
  • Willingness to learn, solve problems, and perform in a dynamic work environment

Desired:
  • Degree in Image Science, Field of Engineering, or Physics
  • Understanding of the enterprise TCPED process
  • A basic understanding of RF analysis and potential antenna modeling
  • Experience working in a DoD or IC operational environment
  • Experience working on Product Initialization teams
  • Understanding of Machine Learning and Neural Network algorithms

Experience developing engineering code (e.g. C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.
BS 8-10, MS 6-8, PhD 3-5
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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