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Signal Processing Jobs in Michigan (NOW HIRING)

University of Michigan

RES ASSOC I (TEMP)

Ann Arbor, MI · On-site

... signal processing algorithms. - Contribute to the preparation of figures, results, and draft text for manuscripts and conference abstracts. - Maintain organized documentation of code, data, and ...

CACI International, Inc.

Software Engineer

Ypsilanti, MI · On-site

$69.10K - $141.50K/yr

Academic experience in digital signal processing * Scrum/Agile Development knowledge and experience with Jira Experience writing software implementing algorithms * Passion for solving hard problems ...

Tenneco

Validation Engineer

Grass Lake, MI · On-site

Can apply signal processing methods and processes to review, compare and report on acceleration, displacement, temperature, and strain measured field data. Experience using GlyphWorks or an ...

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How much do signal processing jobs pay per year?

As of Jun 1, 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.
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Signal Processing jobs near you
RES ASSOC I (TEMP)

RES ASSOC I (TEMP)

University of Michigan

Ann Arbor, MI • On-site

Part-time

This job post has expired today. Applications are no longer accepted.

University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

129th of 530 rated colleges and universities

Job description

How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Job Summary
The MiFLoW Research Group in the Department of Radiology at the University of Michigan is seeking a temporary Research Associate for a summer appointment. The position supports ongoing NIH-funded work on quantitative, image-based biomarkers for the lower urinary tract using MRI and ultrasound, including shear wave elastography and contrast-enhanced ultrasound. The Research Associate will contribute to experiments, data analysis, algorithm development, and manuscript preparation under the supervision of the group's investigators.
Responsibilities*
- Perform in vitro, phantom, and in vivo MRI and ultrasound imaging experiments, including setup, acquisition, and documentation.
- Process and analyze MRI and ultrasound data using existing computational pipelines.
- Assist in the development and validation of image analysis and signal processing algorithms.
- Contribute to the preparation of figures, results, and draft text for manuscripts and conference abstracts.
- Maintain organized documentation of code, data, and analysis workflows.
Required Qualifications*
- Bachelor's degree in Mechanical Engineering, Chemical Engineering, Biomedical Engineering, Computer Science, or a related field.
- Proficiency in Python for scientific computing and data analysis.
- Familiarity with medical image analysis or signal processing concepts.
- Ability to work independently and collaboratively in a multidisciplinary team.
Desired Qualifications*
- Prior hands-on research experience with MRI and/or ultrasound imaging or related experimental work.
- Exposure to the physics of MRI and/or ultrasound imaging.
- Experience with version control (Git) and reproducible analysis workflows.
- Record of contribution to peer-reviewed publications or conference presentations.
- Strong written and oral communication skills.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Work Schedule
40h per week, day shift.
Work Locations
Medical Science 1
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Detail
Job Opening ID
278191
Working Title
RES ASSOC I (TEMP)
Job Title
RES ASSOC I (TEMP)
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Part-Time
Regular/Temporary
Temporary
FLSA Status
Nonexempt
Organizational Group
Medical School
Department
MM Department of Radiology
Posting Begin/End Date
5/27/2026 - 5/29/2026
Career Interest
Radiology
Research
Temporary Job Opening

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Headquarters location

Ann Arbor, MI, US

Year founded

1817

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