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Signal Processing Engineer Jobs in Wisconsin (NOW HIRING)

Mantis Robotics

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 ...

Hikinex

Payload System Engineer Role: We are seeking a Telecommunications Payload System Engineer with a ... Foundational knowledge of digital signal processing, RF systems, and telecommunications ...

Acara Solutions

Senior FPGA Engineer

Franksville, WI

$160K - $190K/yr

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.

ProducePay

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 ...

Blue Origin LLC

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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All JobsSignal Processing Engineer JobsSignal Processing Engineer Jobs in Wisconsin

Signal Processing Engineer information

See Wisconsin salary details

$54K

$132.6K

$195.3K

How much do signal processing engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for signal processing engineer 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 does a signal processing engineer do?

A Signal Processing Engineer designs, develops, and implements algorithms and systems to analyze, modify, and interpret signals such as audio, video, radar, or sensor data. They work with both analog and digital signals to extract meaningful information, improve signal quality, and enable communication between devices. Their work is essential in industries like telecommunications, healthcare (medical imaging), audio engineering, and defense. Signal Processing Engineers often use programming languages like MATLAB or Python, and work closely with hardware and software teams to optimize system performance.

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 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 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.

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.

More about Signal Processing Engineer jobs

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The top searched job categories for Signal Processing Engineer jobs in Wisconsin are:

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For Signal Processing Engineer jobs in WI, the most frequently searched job titles are:

Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid 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 4 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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