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Signal Processing Engineer Jobs in Boulder, CO (NOW HIRING)

Raytheon Technologies

Principal Systems Engineer

Aurora, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will collaborate across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing, and Performance Simulation engineers to develop and evaluate high-fidelity ...

Raytheon

Principal Systems Engineer

Aurora, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will collaborate across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing, and Performance Simulation engineers to develop and evaluate high-fidelity ...

Arcfield

GNSS DSP Engineer with Security Clearance

Louisville, CO · On-site

$149K - $174K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Responsibilities Overview As a GNSS DSP Engineer, you will be a key technical contributor to OSS ... Drive the implementation of signal processing for spaceborne GNSS remote sensing applications ...

SciTec

Principal Radar Systems Engineer

Boulder, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will collaborate across hardware engineering, embedded software, digital signal processing, DevSecOps pipelines, and mission analytics teams to deliver modern radar capabilities that replace ...

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Showing results 21-40

All JobsSignal Processing Engineer JobsSignal Processing Engineer Jobs in Boulder, CO

Signal Processing Engineer information

See Boulder, CO salary details

$55.5K

$136.2K

$200.7K

How much do signal processing engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for signal processing engineer in Boulder, CO is $136,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $153,000.00 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, 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 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.
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What cities near Boulder, CO are hiring for Signal Processing Engineer jobs?

Cities near Boulder, CO with the most Signal Processing Engineer job openings:

Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in Boulder, CO as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $136,222 per year, or $65.5 per hour.

Staff Radar Systems Engineer

LeoLabs, Inc.

Denver, CO

Full-time

Posted 19 days ago

Job description

Why LeoLabs?

At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.

We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.

If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.

LeoLabs is seeking a highly motivated Staff Radar Systems Engineer to support the design, integration, testing, and operational deployment of advanced radar capabilities. This role will serve as a technical leader responsible for defining system requirements, evaluating radar performance, supporting mission execution, and driving cross-functional engineering efforts across hardware, software, signal processing, and operations teams.

The ideal candidate possesses deep expertise in radar systems engineering, a strong understanding of sensor performance and system integration, and the ability to translate mission requirements into scalable technical solutions supporting national security and space domain awareness missions.

Responsibilities

  • Lead radar systems engineering activities across the system lifecycle, including requirements development, architecture definition, integration, verification, validation, and operational support.
  • Develop and maintain radar system software, performance models, analyses, and technical documentation.
  • Evaluate radar performance against mission objectives and identify opportunities for optimization and capability enhancement.
  • Support system design reviews, technical interchange meetings, and customer engagements.
  • Collaborate with software, hardware, RF, signal processing, and operations teams to ensure successful integration and deployment of radar capabilities.
  • Perform trade studies and technical assessments to support engineering and program decisions.
  • Develop test plans and support laboratory, field, and operational testing activities.
  • Analyze system anomalies and lead root-cause investigations and corrective actions.
  • Support government customers by providing technical expertise, briefings, and engineering recommendations.
  • Mentor junior engineers and contribute to the continued development of systems engineering best practices.

Required Qualifications

  • Bachelor's degree in Electrical Engineering, Systems Engineering, Physics, Aerospace Engineering, or a related technical discipline.
  • 10+ years of experience in radar systems engineering, sensor systems engineering, or related defense and aerospace environments.
  • Demonstrated experience with radar system architecture, integration, testing, and performance analysis.
  • Strong understanding of radar principles, RF systems, signal processing, and sensor performance characterization.
  • Experience developing system requirements, interface documentation, and verification methodologies.
  • Experience with various electronic protection techniques
  • Strong analytical, communication, and technical leadership skills.
  • Eligibility to obtain and maintain a security clearance.

Preferred Qualifications

  • Advanced degree in Engineering, Physics, Applied Mathematics, or related field.
  • Experience implementing algorithms like adaptive beamforming
  • Experience with phased-array radar systems.
  • Experience supporting U.S. Department of Defense, Intelligence Community, or Space Force programs.
  • Experience with tracking methods, for orbital and non-orbital objects
  • Knowledge of space domain awareness, missile warning, tracking, or related mission areas.
  • Active U.S. security clearance.

Apply