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Digital Signal Processing Jobs in Michigan (NOW HIRING)

twenty80.io

Imaging Systems Engineer

Zeeland, MI · On-site

$95K - $105K/yr

Experience working with Image Signal Processing (ISP) pipelines. * Strong programming or scripting experience using Python and/or MATLAB. * Experience working with digital cameras, imaging systems ...

Gates

Embedded Firmware Engineer

Rochester Hills, MI · On-site

$112K - $130K/yr

Familiarity with control algorithms, digital signal processing, or sensor integration. * Experience with version control systems (e.g., Git) and debugging tools (e.g., JTAG, oscilloscopes). Preferred ...

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Digital Signal Processing information

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$76

How much do digital signal processing jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for digital signal processing in Michigan is $41.18, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $53.41 per hour, depending on experience, location, and employer.

What kind of projects or problems do digital signal processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.

What is digital signal processing?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What are the key skills and qualifications needed to thrive in digital signal processing, and why are they important?

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

What are the most commonly searched types of Digital Signal Processing jobs in Michigan?

The most popular types of Digital Signal Processing jobs in Michigan are:

What are popular job titles related to Digital Signal Processing jobs in Michigan?

For Digital Signal Processing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Digital Signal Processing jobs in Michigan look for?

The top searched job categories for Digital Signal Processing jobs in Michigan are:

What cities in Michigan are hiring for Digital Signal Processing jobs?

Cities in Michigan with the most Digital Signal Processing job openings:

Digital Signal Processing jobs near you
Infographic showing various Digital Signal Processing job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $85,653 per year, or $41.2 per hour.

Imaging Systems Engineer

twenty80.io

Zeeland, MI • On-site

$95K - $105K/yr

Full-time

Re-posted 2 days ago

Job description

Role Summary

Our client, an engineering and technology organization, is seeking a Camera Tuning Engineer to support the development and optimization of advanced imaging and vision-based products. This role is responsible for improving image quality through image signal processing (ISP) tuning, testing, data analysis, and collaboration with cross-functional engineering teams.

The Camera Tuning Engineer will work closely with software engineers, product stakeholders, and third-party technology partners to optimize camera performance, resolve image quality issues, and support customer-driven enhancements across multiple product lines.

Key Responsibilities
  • Develop expertise across multiple Image Signal Processing (ISP) pipeline architectures and associated development tools.
  • Tune and optimize ISP pipeline parameters to improve image quality across a variety of camera and vision products.
  • Collaborate with software engineering teams to define, review, implement, and validate imaging pipeline enhancements.
  • Partner with internal stakeholders to understand product-specific image quality requirements and recommend technical solutions.
  • Collect, analyze, and interpret image data using both quantitative metrics and visual assessments to drive image quality improvements.
  • Design, develop, and execute automated and manual testing procedures to validate imaging performance.
  • Investigate, troubleshoot, and resolve hardware and software issues impacting camera performance.
  • Support customer-driven image quality improvements by analyzing field feedback and resolving imaging concerns.
  • Collaborate with third-party camera and ISP technology providers to resolve complex imaging issues.
  • Maintain documentation of testing methodologies, tuning results, and technical findings.
  • Participate in continuous product improvement initiatives and engineering best practices.
  • Perform additional duties as assigned.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Minimum of two (2) years of professional experience in image quality analysis, camera tuning, image processing, or a related field.
  • Experience working with Image Signal Processing (ISP) pipelines.
  • Strong programming or scripting experience using Python and/or MATLAB.
  • Experience working with digital cameras, imaging systems, video technologies, or photography-related applications.
  • Experience using version control systems such as Git or GitHub.
  • Experience debugging both hardware and software issues.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to collect, analyze, and interpret technical data to improve system performance.
  • Proficiency with Microsoft Office applications.
Preferred Qualifications
  • Experience working in embedded hardware and software environments.
  • Experience with Linux development environments.
  • Knowledge of signal processing concepts and time-series data analysis.
  • Experience with software development lifecycle (SDLC) practices.
  • Experience working in Agile development environments.
  • Customer-facing experience supporting image quality tuning or product optimization.
  • Experience collaborating with third-party camera, sensor, or ISP technology providers.
  • Industry experience in one or more of the following:
    • Automotive vision systems
    • Camera or imaging technology
    • Consumer electronics
    • Computer vision
    • Aerospace
    • Video processing technologies
    • Embedded systems
    • Fire protection or industrial imaging solutions
Ideal Background

Candidates are most successful in this role if they have hands-on experience developing, testing, and optimizing imaging systems, with a strong foundation in camera technologies, image signal processing, and data-driven image quality analysis. Experience working across software and hardware environments in a collaborative engineering setting is highly preferred.