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Signal Processing Jobs in Michigan (NOW HIRING)

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Strong foundation in signal processing, sensor fusion, mathematics, and statistics. * Experience with embedded systems, inertial sensors, electronics. * Expert level knowledge of Python, Jupyter ...

Strong foundation in signal processing, sensor fusion, mathematics, and statistics. * Experience with embedded systems, inertial sensors, electronics. * Expert level knowledge of Python, Jupyter ...

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Strong foundation in signal processing, sensor fusion, mathematics, and statistics. * Experience with embedded systems, inertial sensors, electronics. * Expert level knowledge of Python, Jupyter ...

Develop embedded software for signal processing, sensor integration, and data acquisition * Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware ...

Develop embedded software for signal processing, sensor integration, and data acquisition * Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware ...

Signal processing and denoising * Mechanical Engineering (Test design and QA) * Systems modeling * Software Engineering * UI/UX design * Sports science and athlete testing * Data Science and ...

Signal processing and denoising * Mechanical Engineering (Test design and QA) * Systems modeling * Software Engineering * UI/UX design * Sports science and athlete testing * Data Science and ...

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Signal Processing information

See Michigan salary details

$46.6K

$114.5K

$168.7K

How much do signal processing jobs pay per year?

As of May 31, 2026, the average yearly pay for signal processing in Michigan is $114,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $128,600.00 per year, depending on experience, location, and employer.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

What are the key skills and qualifications needed to thrive in the Signal Processing position, and why are they important?

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.
What are the most commonly searched types of Signal Processing jobs in Michigan? The most popular types of Signal Processing jobs in Michigan are:
What are popular job titles related to Signal Processing jobs in Michigan? For Signal Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Signal Processing jobs in Michigan look for? The top searched job categories for Signal Processing jobs in Michigan are:

Signal Processing Engineer

GripFusion

Ann Arbor, MI • On-site

$100K - $150K/yr

Full-time

Posted 12 days ago


Job description

Description
GripFusion is a sports-technology startup building next-generation intelligent sporting equipment that combines pioneering grip sensors, advanced electronics, and personalized analytics to transform how athletes train, perform, and stay healthy. We operate at the intersection of hardware, software, data science, and applied biomechanics, turning high-resolution grip and motion data into actionable performance insights. We are well-funded for the next phase of growth and are seeking exceptionally talented and highly motivated individuals to help shape the future of sports tech. This is an opportunity to play a key role in a small but growing company and build a product that is innovative and fun.
Responsibilities
You'll be responsible for designing, developing, and implementing algorithms to process, analyze and visualize digital signals for the GripFusion products. In this role you will:
  • Create analyses and visualizations to communicate complex 3D data in a meaningful way.
  • Develop sensor processing algorithms.
  • Prototype sensor systems and run simulations.
  • Ensure accurate and reliable transformation of high dimensional, high frequency sensor data into useful insights.
  • Work closely with the software team to incorporate analytical functionality into the product.
  • Test, debug and validate data functionality and visualizations.
  • Run adhoc analysis as needed.
  • Evaluate tools and technologies for future use.

Requirements
  • Strong foundation in signal processing, sensor fusion, mathematics, and statistics.
  • Experience with embedded systems, inertial sensors, electronics.
  • Expert level knowledge of Python, Jupyter Notebooks.
  • Experience working with complex, high dimensionality 3D data.
  • Basic knowledge of software development, code management tools and principals.
  • Experience processing and synchronizing high speed video with other data streams.

Desired Non-Technical Skills:
  • Commitment to using data to tell a story for the end user.
  • Strong problem solving skills including identifying problems and developing and evaluating options
  • Good interpersonal skills including the ability to work as a member of a fast moving team.
  • A strong commitment to quality and an understanding of code management and software development best practices.
  • A desire to learn new things and interest in the latest technologies.
  • Written and oral communication skills including the ability to be persuasive and adapt communications to the audience and issue.
  • Ability to manage your time effectively.

Qualifications:
  • Bachelor or Masters degree in technical program or equivalent experience

GripFusion is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.