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Signal Processing Jobs in Wisconsin (NOW HIRING)

WI · On-site

$80.58 - $126.63/hr

We are seeking a highly skilled and motivated radar signal processing engineer to join our sensor development team in Leuven, Belgium. The selected candidate will play a critical role in designing ...

Foundational knowledge of digital signal processing, RF systems, and telecommunications architectures. * Relevant Experience with testing of satellite subsystems. * Strong attention to detail ...

WI · On-site

$120 - $160/hr

This role sits at the intersection of real-world tactical hardware, machine learning, signals processing, and multisensor engineering, translating them into autonomous field deployment. You will be ...

This role will focus on HDL development, FPGA design, digital signal processing, embedded communications, and power system modeling while collaborating closely with electrical and controls engineers.

WI · On-site

$230 - $323/hr

Basic Qualifications * 10+ years of experience in signal processing or modem design and development. * Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical ...

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Signal Processing information

See Wisconsin salary details

$54K

$132.6K

$195.3K

How much do signal processing jobs pay per year?

As of Sep 6, 2026, the average yearly pay for signal processing in Wisconsin is $132,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $148,900.00 per year, depending on experience, location, and employer.

What is a signal processing?

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 signal processing?

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.

Is signal processing in demand?

Signal processing is a growing field with strong demand across industries such as telecommunications, aerospace, healthcare, and defense. Professionals with skills in digital signal processing, MATLAB, and programming are sought after, especially as technology advances and data analysis becomes more critical.

What careers use signal processing?

Signal processing is used in careers such as audio and speech processing, telecommunications, radar and sonar systems, medical imaging, and aerospace engineering. Professionals in these fields analyze, filter, and interpret signals using tools like MATLAB and Python, often requiring knowledge of algorithms and digital signal processing techniques.

What cities in Wisconsin are hiring for Signal Processing jobs?

Cities in Wisconsin with the most Signal Processing job openings:

Infographic showing various Signal Processing job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $132,577 per year, or $63.7 per hour.

Radar Signal Processing Engineer

Mantis Robotics

WI • On-site

$80.58 - $126.63/hr

Other

Posted 5 days ago


Key responsibilities

  • Develop radar algorithms for object tracking, classification, environmental modeling, and sensor fusion.

  • Conduct testing of radar signal processing algorithms using real-world data and validate their performance.

  • Document algorithm designs, implementation details, testing procedures, and create API documentation and user manuals.


Job description

Mantis Robotics is building the fastest and safest industrial robots that can work safely with people, to make robotic automation accessible to anyone wanting to automate a manual task. Mantis Robotics BV (Leuven) is the Belgian R&D centre of Silicon Valley based Mantis Robotics Inc, one of the fastest growing robotics startups, backed by Amazon (lead investor).

We are seeking a highly skilled and motivated radar signal processing engineer to join our sensor development team in Leuven, Belgium. The selected candidate will play a critical role in designing, developing, and validating various features of our radar processing algorithms.

We are committed to respect, transparency, honesty, integrity, fairness and customer focus.

CORE RESPONSIBILITIES:
  • Your primary responsibility will be the development of our dedicated radar algorithms for object tracking and classification, environmental modeling, and sensor fusion to ensure high performance without compromising safety constraints. To achieve our objectives, we expect you to:
  • collaborate with cross-functional engineering teams and research groups to decide on requirements, architecture and validation methods
  • develop tools and data visualization techniques to effectively gain insights into the performance and physical boundaries of our radar system
  • conduct thorough testing of radar signal processing algorithms using real-world data, representing standard conditions and corner cases
  • document algorithm designs, implementation details, and testing procedures, and create API documentation and user manuals for our software developers
  • support integration and test, evaluate test results, investigate discrepancies, provide technical assessment of anomalies, and drive issues to resolution
QUALIFICATIONS:
  • Master’s or PhD degree in a related engineering field, including but not limited to electrical engineering, signal processing, computer science, or physics
  • Prior experience in algorithm and/or software development for radar applications, demonstrating fundamental knowledge of the related theoretical framework of radar signal processing (e.g., contested spectrum, beamforming, and direction-of-arrival estimation)
  • Proficiency in statistical concepts, mathematical modeling, and data interpretation (e.g., linear and logistic regression, Bayesian techniques)
  • Experience with RF signature recognition and classification algorithms
  • Experience with computational imaging and image reconstruction techniques
  • Experience in C/C++ programming, preferably on embedded devices, and familiarity with Python
  • Strong written and verbal communication skills in English
PREFERRED:
  • Prior experience developing sensor fusion algorithms using data from different sensing modalities including radar, camera, and ToF/LiDAR systems.
  • Experience with version control tools such as Git, SVN or equivalents
  • Knowledge of radar firmware development is advantageous
  • Experience in the development and management of research projects

Mantis Robotics is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

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