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Signal Processing Engineer 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 ...

We are seeking a Robotics Engineer that has Embedded Software Engineering experience in designing ... Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

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Signal Processing Engineer information

See Michigan salary details

$46.6K

$114.5K

$168.7K

How much do signal processing engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for signal processing engineer 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 are the key skills and qualifications needed to thrive as a Signal Processing Engineer, and why are they important?

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

What is the difference between Signal Processing Engineer vs Communications Engineer?

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a signal processing engineer do?

A signal processing engineer designs and develops algorithms and systems to analyze, interpret, and modify signals such as audio, video, and sensor data. They work with tools like MATLAB and Python, and often focus on improving data quality, noise reduction, and system performance in fields like telecommunications, audio engineering, and radar systems.

What Does a Signal Processing Engineer Do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often with extensive experience, advanced skills, and additional compensation like bonuses or stock options. High-level management or executive positions in engineering companies may also reach this salary level.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain electrical or aerospace engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare expertise and certifications.

What are some typical challenges Signal Processing Engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for Signal Processing Engineers, involving the analysis and manipulation of signals. While AI techniques are increasingly integrated into signal processing tasks, DSP skills remain essential for designing efficient algorithms and hardware implementations, and are unlikely to be fully replaced by AI in the near future.
What job categories do people searching Signal Processing Engineer jobs in Michigan look for? The top searched job categories for Signal Processing Engineer jobs in Michigan are:
What cities in Michigan are hiring for Signal Processing Engineer jobs? Cities in Michigan with the most Signal Processing Engineer job openings:
What are popular job titles related to Signal Processing Engineer jobs in MI? For Signal Processing Engineer jobs in MI, the most frequently searched job titles are:

Signal Processing Engineer

GripFusion

Ann Arbor, MI • On-site

$100K - $150K/yr

Full-time

Posted 2 days ago

Be an early applicant


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.