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

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

C/C++ Software Engineer

Mclean, VA ยท 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 ...

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 ...

Software Engineer

Arlington, VA ยท 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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Sensor Algorithm Engineer information

See Ashburn, VA salary details

$60.8K

$114.2K

$207.6K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for sensor algorithm engineer in Ashburn, VA is $114,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $135,500.00 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.
What job categories do people searching Sensor Algorithm Engineer jobs in Ashburn, VA look for? The top searched job categories for Sensor Algorithm Engineer jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Sensor Algorithm Engineer jobs? Cities near Ashburn, VA with the most Sensor Algorithm Engineer job openings:
Image Processing Engineer III

Image Processing Engineer III

Quantum Space

Rockville, MD โ€ข On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
Quantum Space is a company focused on advanced optical payload and image processing applications. They are seeking an Image Processing Engineer III to serve as a principal technical authority, overseeing algorithmic deliverables and developing flight-ready computer vision algorithms for critical space missions.
Responsibilities:
โ€ข Technical Oversight: Serve as the primary technical point of contact monitoring a algorithmic development. Ensure deliverables meet rigorous mission requirements, timelines, and integration standards.
โ€ข Algorithm Development & Evaluation: Design, simulate, and evaluate advanced image processing and computer vision algorithms for real time object detection, tracking, and characterization.
โ€ข System Level Electro Optical (EO) Evaluation: Analyze and model sensor and optical system performance to determine feasibility and optimize hardware configurations for specific mission concepts.
โ€ข Algorithmic Transition & Scaling: Architect scalable algorithms that can pivot from initial point source tracking (Space Domain Awareness) to close range, resolved target processing (Rendezvous and Proximity Operations).
Qualifications:
Required:
โ€ข Masterโ€™s or Ph.D. in Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Optical Sciences, or a related technical discipline.
โ€ข Deep expertise in image processing, computer vision, and pattern recognition (e.g., edge detection, feature extraction, filtering, and multi-target tracking).
โ€ข Strong proficiency in modeling and simulation environments (such as MATLAB, Python, or C++).
โ€ข Experience with Electro-Optical/Infrared (EO/IR) sensor modeling, radiometric budgets, and optical system performance metrics.
โ€ข Proven experience managing technical milestones and requirements with external vendors or subcontractors.
โ€ข Familiarity with space-based operational domains, orbital mechanics, or satellite subsystem constraints.
โ€ข 8 to 12+ years of progressive experience in image processing and computer vision engineering, preferably within the aerospace, defense, or space systems industry.
Preferred:
โ€ข Experience processing or integrating Active Optical sensors like LiDAR for 3D cloud mapping or relative navigation.
โ€ข Experience implementing algorithms on constrained flight hardware (FPGAs, GPUs, or embedded systems).
Company:
Quantum Space provides data buy services, deploys spacecraft, and performs space logistics for partners. Founded in 2021, the company is headquartered in Rockville, USA, with a team of 11-50 employees. The company is currently Early Stage.