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Camera Isp Image Processing Jobs in Detroit, MI (NOW HIRING)

Stellantis

Principal SW Developer

Auburn Hills, MI · On-site

$127K - $171K/yr

Integration: Integrate camera drivers (GMSL/FPD/CSI), SerDes, and SoC video pipelines; manage ... Image Processing: OpenCV, ISP tuning, HDR fusion, denoise, demosaic, geometric undistortion, seam ...

Stellantis

Principal SW Developer

Auburn Hills, MI

$127K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... camera/ADAS or embedded video systems. Preferred Qualifications: * Embedded software: C/C++, Python, Linux BSP, Yocto, driver debugging * Image Processing: OpenCV, ISP tuning, HDR fusion, denoise ...

Ford Motor Company

Software Product Engineer

Allen Park, MI · On-site

$86K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Deep understanding of camera processing pipelines: Image Signal Processing (ISP), video codecs (H.264/H.265), and hardware interfaces (MIPI/CSI, SerDes, FPD-Link) and rendering frameworks (e.g ...

Pentangle Tech

View Engine Developer..

Auburn Hills, MI · On-site

$17.75 - $24.25/hr

Expertise in 2D and 3D transformations and image processing. * Proficiency in camera math models (e.g., pinhole camera models). * Experience with graphical engines such as OpenGL, Qt, and Unreal ...

Astemo

Software Sr. Engineer (Middleware)

Farmington Hills, MI · On-site

$120K - $158K/yr

Integrate and support standard automotive sensors, with a focus on AD/ADAS, such as cameras, radar, lidar, sonar, and inertia sensing. Manage the development of image processing capabilities within ...

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All JobsCamera Isp Image Processing JobsCamera Isp Image Processing Jobs in Detroit, MI

Camera Isp Image Processing information

See Detroit, MI salary details

$13

$22

$28

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

As of Aug 15, 2026, the average hourly pay for camera isp image processing in Detroit, MI is $22.27, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Camera Isp Image Processing jobs in Detroit, MI?

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

What job categories do people searching Camera Isp Image Processing jobs in Detroit, MI look for?

The top searched job categories for Camera Isp Image Processing jobs in Detroit, MI are:

Camera Isp Image Processing jobs near you

Principal SW Developer

Stellantis

Auburn Hills, MI • On-site

$127K - $171K/yr

Full-time

Re-posted 4 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Seeking a talented Senior Design Engineer to join our global team and will be responsible Oversee the Design, implement, and validate in-vehicle camera visualization features (rear view, 360° surround/bird's-eye, trailer assist, recording/streaming) across embedded SoC and ECU platforms development lifecycle, from planning and design to implementation and testing. Ensure timely delivery and high-quality output.
Role and Responsibilities:
  • Feature design & requirements: Translate UX/PM requirements into technical specs and acceptance criteria.
  • Image pipeline development: Implement and tune ISP stages (denoise, HDR merge, color, distortion correction).
  • Integration: Integrate camera drivers (GMSL/FPD/CSI), SerDes, and SoC video pipelines; manage calibration flows.
  • Validation & HIL: Create HIL/image-injection tests, automated regression, and field test plans to validate latency, stitching, and artifact rates.
  • Safety & compliance: Contribute to ISO 26262 work products, ASPICE artifacts, and FMVSS111 considerations.
  • Cross-team coordination: Work with UX, safety, firmware, and manufacturing for production readiness.

Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 8 years of overall experience including a minimum of 6 years in production software development and delivering software for camera/ADAS or embedded video systems.

Preferred Qualifications:
  • Embedded software: C/C++, Python, Linux BSP, Yocto, driver debugging
  • Image Processing: OpenCV, ISP tuning, HDR fusion, denoise, demosaic, geometric undistortion, seam-aware stitching
  • Interfaces: MIPI/CSI, GMSL, FPD, SerDes, I²C
  • Platforms: Linux BSP, Yocto, embedded SoC video pipelines, hardware accelerators, DMA
  • Validation: HIL, image injection/video replay, objective IQ metrics (PSNR/SSIM variants), subjective panel correlation
  • Tools: Video replay systems, PXI, trace/profiling tools, calibration rigs
  • Standards: ISO 26262, ASPICE, FMVSS111, ISO/SAE 21434 basics
  • Automotive Infotainment/Cluster/Display SW Architecture
  • Agile methodology, ALM (Jira)
  • Software development best practice and quality: ASPICE, Unit testing, SW Quality, SW life cycle

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