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Sensor Algorithm Engineer Jobs in Chantilly, VA (NOW HIRING)

Blue Origin

GN&C Navigation Engineer III

Reston, VA

$164K - $230K/yr

Support the developmentofnavigation and sensor fusion algorithms, and execute component-level test ... S. degree in Aerospace Engineering, Software Engineering, Electrical Engineering, Computer ...

AMERICAN SYSTEMS

C/C++ Software Engineer

Mclean, VA · On-site

$96K - $161K/yr

The engineer will work on advanced radar tracking, sensor fusion, data correlation, and real-time ... Develop and maintain advanced radar tracking, correlator, and sensor fusion algorithms. * Integrate ...

AMERICAN SYSTEMS

C/C++ Software Engineer

Mclean, VA · On-site

$96K - $161K/yr

Develop and maintain advanced radar tracking, correlator, and sensor fusion algorithms. * Integrate ... Collaborate with data scientists and system engineers supporting AI/ML-enabled threat detection ...

STR

Software Engineer

Arlington, VA · On-site

$111K - $140K/yr

The Sensors Division at STR focuses on technology development for advanced sensor systems and ... You will work with scientists and engineers to design and implement algorithmic solutions to ...

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All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Chantilly, VA

Sensor Algorithm Engineer information

See Chantilly, VA salary details

$60.9K

$114.3K

$207.8K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for sensor algorithm engineer in Chantilly, VA is $114,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $135,700.00 per year, depending on experience, location, and employer.

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 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.

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.
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Sensor Algorithm Engineer jobs near you
Image Processing Engineer III

Image Processing Engineer III

Quantum Space

Rockville, MD • On-site

Other

Posted 28 days ago

Job description

The Image Processing Engineer III will be responsible for transitioning algorithm prototypes from conceptual design to operational readiness.  This role requires an engineer who can design mathematical models to solve complex tracking and navigation problems under difficult lighting and environmental conditions. 

Beyond core development, this engineer will define and execute validation protocols to evaluate alternative or competitor algorithms against mission requirements. Additionally, the role bridges the gap between software and hardware by evaluating the feasibility of various sensor and optical systems to ensure they can deliver the input fidelity necessary for algorithmic success.

Core Responsibilities

  • Algorithm Development & Engineering: Advance and mature image processing and computer vision prototypes into production-ready software solutions. 
  • Multi-Feature & Target Tracking: Design and implement robust estimation logic to track and localize multiple visual features simultaneously within dynamic or challenging environments. 
  • Statistical Error & Uncertainty Analysis: Develop mathematical models to estimate data confidence, handle measurement uncertainties, and provide reliable covariance metrics for downstream navigation or data fusion filters. 
  • Data Filtering & Optimization: Implement robust outlier rejection, noise filtering, and subpixel refinement techniques to ensure high data precision and system stability. 
  • Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms. 
  • Hardware-Software Integration: Analyze and simulate the impacts of sensor and optical hardware characteristics (e.g., resolution, lens distortions, lighting sensitivity) on algorithm performance to guide system-level design choices. 
  • Interface & API Design: Define, maintain, and implement clear software interfaces, data contracts, and schema-validated API structures for seamless integration into larger architectures. 

Minimum Experience:

  • 5+ years of professional, hands-on experience in computer vision, image processing, and algorithm development. 
  • An advanced degree (e.g., a Ph.D. with substantial, relevant dissertation research) may count toward the minimum years of experience. 

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