1

Signal Processing Engineer Jobs in Minneapolis, MN

Image processing and other digital signal processing in an embedded environment. Scripting ... quality, engineering, and more. We actively invest in our teams to help you build your skillsets ...

Automated Inspection Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Demonstrated knowledge in one or more of the following areas:image processing, signal processing ...

Automated Inspection Engineer

Maplewood, MN · On-site

$88K - $113K/yr

Automated Inspection Engineer Collaborate with Innovative 3Mers Around the World Choosing where to ... Demonstrated knowledge in one or more of the following areas: image processing, signal processing ...

Our engineers work with industry-leading experts both internally and externally. We encourage and ... Experience with analog-to-digital conversion, digital logic, memory, and signal processing

Showing results 21-40

Signal Processing Engineer information

See Minneapolis, MN salary details

$55.4K

$136.1K

$200.5K

How much do signal processing engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for signal processing engineer in Minneapolis, MN is $136,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $152,800.00 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.

What are the most commonly searched types of Signal Processing Engineer jobs in Minneapolis, MN?

The most popular types of Signal Processing Engineer jobs in Minneapolis, MN are:

What are popular job titles related to Signal Processing Engineer jobs in Minneapolis, MN?

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

What job categories do people searching Signal Processing Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Signal Processing Engineer jobs in Minneapolis, MN are:

Infographic showing various Signal Processing Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 80% In-person, 6% Hybrid, and 14% Remote job distribution, with an average salary of $136,090 per year, or $65.4 per hour.

Research Software Engineer -- R&D, Data Science & Machine Learning

Boon Logic Inc.

Minneapolis, MN • On-site

$95K - $125K/yr

Other

Posted 28 days ago


Job description

Boon Logic is hiring a Research Software Engineer to support advanced R&D and rapid prototyping initiatives alongside our CTO and senior technical leadership.

This role is ideal for a software engineer who enjoys solving difficult technical problems, building prototypes quickly, and working in collaborative technical environments. You''ll spend more time in algorithm discussions and whiteboard sessions than in deployment pipelines or enterprise software maintenance.

This is an onsite role in Minneapolis working directly with a small, technical team. Due to program requirements, this role requires U.S. citizenship and eligibility to work in a NOFORN (No Foreign Nationals) environment.

Compensation: $95,000–$125,000, based on experience

What You''ll Be Doing

  • Rapid prototyping and exploratory software development
  • Collaborating directly with technical leadership on advanced concepts and algorithm development
  • Participating in frequent whiteboard and technical design sessions
  • Building research-oriented tools and proof-of-concept implementations
  • Working primarily in Python and/or C++ in Linux environments
  • Contributing to technical R&D efforts involving data analysis, machine learning, and high-performance computation

Role Breakdown
75% Research and Prototyping | 25% Development | 0% Deployment / DevOps

Requirements

  • B.S. or B.A. in Computer Science, Mathematics, Engineering, or related technical field
  • 3–5 years of industry experience in software engineering or related R&D work
  • Strong proficiency in either Python or C++
  • Strong mathematical and analytical problem-solving skills
  • Experience with rapid prototyping
  • Linux and Git proficiency
  • Must be located in the Greater Minneapolis area

Nice to Have

  • Exposure to machine learning, signal processing, or scientific computing
  • Experience in technical or research-driven environments
  • Familiarity with high-performance or low-latency systems
  • Comfortable operating in fast-moving, ambiguous R&D environment
  • Familiarity with Mathematica a plus

We''re looking for engineers who are curious, technically sharp, collaborative, and capable of turning concepts into working prototypes quickly.