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Camera Isp Image Processing Jobs in Virginia (NOW HIRING)

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/yr

Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance ... Experience with image processing and digital signal processing tools for short-wave and mid-wave ...

Technical Scientist - SME

Springfield, VA · On-site +1

$150K - $235K/yr

Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance ... Experience with image processing and digital signal processing tools for short-wave and mid-wave ...

Embedded Software Engineer

Falls Church, VA · Hybrid

$140K - $160K/yr

Experience with camera optics, ISP tuning and video processing Company Overview Join the leader in providing smarter solutions for a safer world. The property technology space is growing rapidly, and ...

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

... or image processing solutions in real-world production environments. * Proven experience ... Deep understanding of digital camera technology, optics, and multi-camera systems. * Demonstrable ...

Imagery Analyst, Mid

Fort Belvoir, VA · On-site

$62K - $141K/yr

Experience with digital cartography, image processing, computer technology, GIS software ... You are expected to be on camera during interviews and assessments. We reserve the right to take ...

Operate gamma camera systems and complete daily quality control. * Document procedures, doses, and ... Perform image processing using Cedars, ImagenQ, and Fujifilm for quantitative analysis. * Assist ...

Operate gamma camera systems and complete daily quality control. * Document procedures, doses, and ... Perform image processing using Cedars, ImagenQ, and Fujifilm for quantitative analysis. * Assist ...

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

Bachelor's degree Nice If You Have: * 2+ years of experience with remote sensing image processing ... You are expected to be on camera during interviews and assessments. We reserve the right to take ...

Showing results 21-40

Camera Isp Image Processing information

See Virginia salary details

$13

$22

$28

How much do camera isp image processing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for camera isp image processing in Virginia is $22.30, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $24.57 per hour, depending on experience, location, and employer.

What is a camera ISP image processing engineer?

A Camera ISP (Image Signal Processor) is a specialized hardware unit or software pipeline in digital cameras and smartphones that processes raw image data captured by the camera sensor. A Camera ISP Image Processing Engineer is responsible for developing and optimizing algorithms that enhance image quality, such as noise reduction, color correction, auto exposure, white balance, and sharpening. They work closely with hardware and software teams to ensure that images and videos captured by devices are clear, vibrant, and true to life. Their role is critical in achieving high-quality imaging in products like smartphones, surveillance cameras, and automotive systems.

What are the key skills and qualifications needed to thrive as a camera ISP image processing engineer?

To excel as a Camera ISP Image Processing Engineer, you need a solid background in image processing algorithms, signal processing, and a relevant degree in electrical engineering, computer science, or a related field. Proficiency with programming languages such as C/C++, Python, and tools like MATLAB or OpenCV, along with experience in camera sensor tuning, is commonly required. Strong analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this technical role. These capabilities ensure innovative image quality solutions and seamless integration of camera technologies in consumer devices.

What are common challenges faced by professionals working in camera ISP image processing roles, and how can they be addressed?

Professionals in camera ISP Image Processing roles often encounter challenges such as optimizing image quality under varying lighting conditions, managing sensor noise, and ensuring real-time processing performance. These challenges require a strong understanding of both hardware constraints and image processing algorithms. Collaboration with hardware engineers and software developers is crucial to balance image quality with resource efficiency. Continuous learning and staying updated with the latest advancements in computer vision and ISP techniques also help in overcoming these challenges.

What is the difference between Camera Isp Image Processing vs Camera Firmware Engineer?

AspectCamera Isp Image ProcessingCamera Firmware Engineer
CredentialsKnowledge of image processing algorithms, computer vision, and embedded systemsEmbedded systems, C/C++ programming, hardware integration
Work EnvironmentFocus on image quality, sensor data, and real-time processingDevelops firmware for camera hardware, including low-level control
Industry UsageCamera manufacturers, smartphone companies, automotive vision systemsCamera hardware companies, consumer electronics, automotive
Search & Comparison IntentUnderstanding image processing roles in camera systemsDeveloping and optimizing camera firmware

Camera Isp Image Processing specialists focus on enhancing image quality through algorithms and sensor data analysis, while Camera Firmware Engineers develop the low-level software that controls camera hardware. Both roles are essential in camera development but differ in their technical focus and responsibilities.

What are popular job titles related to Camera Isp Image Processing jobs in Virginia?

For Camera Isp Image Processing jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Camera Isp Image Processing jobs in Virginia look for?

The top searched job categories for Camera Isp Image Processing jobs in Virginia are:

What cities in Virginia are hiring for Camera Isp Image Processing jobs?

Cities in Virginia with the most Camera Isp Image Processing job openings:

Senior Scientist

Herndon, VA • On-site, Remote

$150K - $235K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a Customer site in Herndon, Virginia.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven - requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance - including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR - from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills - you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.

Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

  • The pay range for this position is: $150,000 - $235,000