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Camera Component Image Quality Testing Engineer Jobs

Gehc

Image Quality Engineer

Salt Lake City, UT · On-site

$69K - $90K/yr

Summary The Image Quality Engineer is responsible for R&D for new and existing imaging products for ... Their work typically has the objective of demonstrating through testing or analysis the performance ...

Gentex

Image Quality Tuning Engineer II

Zeeland, MI

$66K - $85K/yr

Create and execute automated and manual testing. * Support customer feedback and tuning efforts on ... Experience in video and photography including camera operation and control. * Experience using ...

Apple

Embedded Quality Engineer - Camera

Cupertino, CA · On-site

$162K - $213K/yr

Own end-to-end testing for assigned camera features across multiple platforms Design and execute ... image quality Build scalable automated tests and test tooling integrated with CI/CD pipelines ...

Pentangle Tech

electrical engineer

Petersburg, IL · On-site

Performing both performance testing (image quality, detection, lighting conditions, field of view ... Working with external suppliers / Tier 1 partners producing camera systems * Supporting testing ...

CivicMinds, Inc.

Camera & Optical Engineer

Richardson, TX · On-site

$116K - $151K/yr

Position: Camera & Optical Engineer Location: Richardson, TX Type: Full-time | On-site ... testing and image quality evaluations using advanced optical test equipment • Document design ...

General Motors

We are looking for a Software Quality & Testing Engineer to help us elevate our software built-in quality to the next level in the Vehicle Software and Electronics Engineering organization! In this ...

Apple

Camera Control-Systems Engineer

Cupertino, CA · On-site

$159K - $166K/yr

The Camera Systems Engineering Group develops systems, calibration, and correction procedures to maintain high image quality over a wide range of use cases and component variation. Past projects have ...

Apple

Embedded Quality Engineer - Camera

Cupertino, CA · On-site

$144K - $263K/yr

Own end-to-end testing for assigned camera features across multiple platforms Design and execute ... image quality Build scalable automated tests and test tooling integrated with CI/CD pipelines ...

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All JobsTechnology JobsSoftware JobsSoftware Quality Engineer JobsCamera Component Image Quality Testing Engineer Jobs

Camera Component Image Quality Testing Engineer information

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How much do camera component image quality testing engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for camera component image quality testing engineer in the United States is $29.70, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $38.46 per hour, depending on experience, location, and employer.

What does a camera component image quality testing engineer do?

A Camera Component Image Quality Testing Engineer is responsible for evaluating and optimizing the performance of camera modules used in devices like smartphones, laptops, or security systems. Their job involves testing components such as lenses, sensors, and image processors to ensure they meet image quality standards. They use specialized equipment and software to measure parameters like sharpness, color accuracy, noise, and dynamic range. The engineer works closely with design and production teams to troubleshoot and improve camera performance before products reach the market.

What are the key skills and qualifications needed to thrive as a camera component image quality testing engineer?

A Camera Component Image Quality Testing Engineer should have a solid background in optics, image signal processing, and electronics, often supported by a degree in engineering or a related field. Familiarity with image quality assessment tools, camera testing software, and laboratory measurement systems is essential, along with experience using standards like ISO 12233. Strong analytical thinking, attention to detail, and effective communication skills help in troubleshooting issues and collaborating with cross-functional teams. These competencies ensure accurate evaluation and optimization of camera components, directly impacting product performance and user experience.

What are some typical challenges camera component image quality testing engineers face when working with new camera modules?

Camera Component Image Quality Testing Engineers often encounter challenges when evaluating new camera modules, such as adapting test protocols to accommodate novel sensor technologies or lens designs. Ensuring consistency in test environments and managing the impact of environmental factors like lighting or temperature can also be demanding. Additionally, collaborating closely with hardware and software teams is essential to address image processing issues and implement improvements efficiently. Overcoming these challenges requires strong problem-solving skills and the ability to communicate technical findings clearly to cross-functional teams.

What is the difference between Camera Component Image Quality Testing Engineer vs Camera Calibration Engineer?

AspectCamera Component Image Quality Testing EngineerCamera Calibration Engineer
Primary FocusTesting and evaluating image quality of camera componentsCalibrating camera systems for optimal performance
Skills & CertificationsImage processing, testing protocols, optical knowledgeCalibration techniques, software tools, optical engineering
Work EnvironmentLaboratories, R&D centers, manufacturing facilitiesDevelopment labs, testing facilities, field testing
Industry UsageConsumer electronics, smartphones, automotive camerasCamera system development, automotive, robotics

While both roles involve working with camera systems, the Camera Component Image Quality Testing Engineer primarily focuses on evaluating and ensuring the quality of camera images through testing procedures. In contrast, the Camera Calibration Engineer specializes in adjusting and calibrating camera systems to achieve optimal performance. Both roles require optical and technical skills but serve different stages in the camera development process.

What are popular job titles related to Camera Component Image Quality Testing Engineer jobs?

For Camera Component Image Quality Testing Engineer jobs, the most frequently searched job titles are:

Infographic showing various Camera Component Image Quality Testing Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $61,781 per year, or $29.7 per hour.

Senior Camera Pipeline and Image Quality Engineer

San Francisco, CA • On-site

Bedrock Robotics
See more jobs at Bedrock Roboticsexternal

$104K - $141K/yr

Full-time

Re-posted 12 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. Cameras power our autonomy stack on rugged construction machines across all lighting conditions, from full sun to complete darkness, in scenes with high dynamic range, dust, glare, and unpredictable site lighting. We are looking for a senior camera pipeline and image quality engineer to own the full camera pipeline: from embedded drivers and data interfaces through ISP tuning, ensuring our cameras deliver usable imagery for both ML perception models and human teleoperation across a wide range of lighting conditions.
Key Qualifications
  • Hands-on experience tuning ISP pipelines on real hardware (auto exposure, auto white balance, tone mapping, demosaicing, noise reduction, and HDR fusion) with a track record of diagnosing and correcting failure modes such as AE anchoring on bright point sources, aggressive HDR sub-frame ratio compression, and tone mapping that crushes scene content in mixed-light environments
  • Deep familiarity with AE algorithm internals: histogram weighting, metering zone selection, exposure ratio control in multi-exposure HDR pipelines, and lux estimation, and how these interact with scenes containing simultaneously very bright and very dark content
  • Hands-on experience writing or integrating embedded camera drivers (V4L2, MIPI CSI-2, GMSL, I2C) and building the tooling and software interfaces that expose ISP and imager control to an autonomy software stack
  • Familiarity with camera data pipelines on embedded platforms: frame synchronization, timestamping, compression, bandwidth management, and integration with autonomy middleware (ROS2 or similar)
  • Understanding of how ISP tuning choices affect downstream ML/perception model performance, and experience validating that pipeline changes do not degrade existing model behavior
  • Working knowledge of camera sensor fundamentals (CMOS architecture, shutter types, CFA patterns, dynamic range, sensitivity, and binning) sufficient to reason about how sensor choice and configuration interact with ISP behavior
  • Working knowledge of radiometry sufficient to interpret photon budget models, SNR predictions, and motion-blur constraints as inputs to ISP tuning requirements
  • Strong data analysis skills, including experience working with large datasets, building quantitative models, and using statistical methods to characterize real-world system behavior
  • 8+ years of relevant industry experience in ISP tuning, embedded camera systems, image quality engineering, or closely related roles

Responsibilities
  • Own the camera pipeline end to end: diagnose image quality failures, tune ISP parameters, and validate improvements across the full operating radiometric range from bright daylight to night with machine-mounted illumination
  • Own embedded camera driver development and integration: register-level control, frame synchronization, and software interfaces that expose runtime ISP parameter control to the autonomy stack
  • Characterize existing ISP pipeline behavior from first principles: identify root causes of image quality failures using parameter-level access, histogram analysis, raw vs processed frame comparison, and controlled test scenes
  • Tune ISP and imager settings (exposure, white balance, HDR sub-frame ratios, tone mapping, noise reduction) to optimize image quality for both ML perception models and remote assistance/teleoperation
  • Establish and run test protocols that confirm ISP changes improve low-light performance without adversely affecting existing daytime model performance or training data compatibility
  • Work closely with perception, autonomy, and sensing engineering to translate scene and platform constraints (yaw rates, lux levels, detection ranges) into concrete ISP tuning targets
  • Debug camera issues from sensor/ISP register state through to captured imagery, both in the lab and in the field
  • Define and drive image quality characterization methodologies (SFR/MTF, noise, dynamic range, photon transfer curves) and track performance across hardware and ISP firmware generations
  • Manage relationships with ISP, camera module, and embedded compute vendors

Education and Experience
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field
  • 8+ years of experience in embedded camera systems, ISP tuning, image quality engineering, or closely related roles with a strong pipeline focus
  • Demonstrated ability to characterize, diagnose, and improve camera image quality on fielded hardware
  • Embedded systems experience: comfort at the hardware/software boundary, driver-level debugging, and working with real-time constraints on embedded compute platforms
  • Comfortable working in C/C++ and/or Python for driver-level work, tooling, and test automation

Ways to Stand Out From the Field
  • Experience diagnosing and correcting AE anchoring and HDR tone mapping failures in scenes with extreme intra-frame contrast: retroreflective surfaces, direct artificial light sources, or simultaneous deep shadow and bright highlights
  • Experience with construction, off-road, automotive, or other outdoor autonomous/robotic platforms operating in harsh environments (dust, vibration, wide temperature range, direct sunlight and full dark)
  • Experience with automotive-grade high-speed camera interfaces (GMSL, FPD-Link, MIPI CSI-2) and embedded compute platforms (e.g. Nvidia Jetson/Orin) in a production or near-production deployment context
  • Experience with camera systems that must simultaneously serve human viewing (teleoperation/remote assistance) and ML/perception model consumption
  • Familiarity with co-designing active illumination systems (NIR/visible, pulsed/continuous) alongside ISP tuning
  • Familiarity with IEC 60825-1 eye safety analysis for machine-mounted illuminators

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY), please apply anyway! We'd love to consider you.
Bedrock Robotics is an Equal Opportunity Employer
We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

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