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Sensor Algorithm Engineer Jobs in Tennessee (NOW HIRING)

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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.
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Radar and Optics Applications Associate Research Staff

Radar and Optics Applications Associate Research Staff

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$12.25 - $15.75/hr

Full-time

Posted 24 days ago


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

Requisition Id 16324
Overview:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other worldwide challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML), neuromorphic sensing, video super-resolution, electromagnetics, real-time systems, data mining and analysis, high performance computing, cyber security protection for radar and related training systems, signal processing, and software development. In general, activities involve first-class interdisciplinary research with multiple research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for our national security research sponsors.
Main Duties and Responsibilities:
As a full-time Associate Research Staff you will support technical staff on research projects and provide technical engineering support, technology assessments, engineering analysis, engineering studies, design reviews, and specifications development for upgrading existing radar and optical tracking systems and developing new radar and optical tracking systems for the Department of Energy (DoE) and other government agencies (OGAs). As part of your routine tasks, you may be required to:
  • assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies
  • apply AI/ML to improve detection and identification of radar and optical tracking systems,
  • or execute radar and optics systems performance tests and analyze the results to influence strategic national security decisions.

In short, you will help envision, design, develop, test, and deploy radar and optics technologies to support national security needs.
The position requires development of innovative solutions for general radar and optics challenges and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications. No less important, the interdisciplinary nature of projects demands strong interpersonal skills, evidence of working well in teams, and an expected desire to seek and develop healthy relationships. Finally, the position requires a passion for mission-focused National Security challenges.
Basic Qualifications:
  • BS with a minimum of four years of experience, MS with a minimum of two years of experience, or a PhD degree with a strong record of research and development in Electrical and Computer Engineering, Computer Science, Mathematics, or a related field
  • Proven experience in radar and optics applications.
  • Excellent communication skills for conveying technical material to both scientists and non-scientists in both written and oral presentations.
  • Self-disciplined work ethic and eagerness to tackle challenging research problems.
  • Strong desire to work in a team environment.
  • Ability to obtain and maintain a security clearance.

Preferred Qualifications:
  • Experience with prototyping RF electronics in a lab environment.
  • Experience with AI/ML.
  • Experience with RF signature recognition and classification algorithms.
  • Experience with Computational Imaging and Image Reconstruction techniques.
  • Familiarity with federal funding procedures, regulations, policies, and practices.
  • Experience developing and managing research projects.

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may be also be subject to random polygraph testing.
This position is a full-time staff position.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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