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Remote Signal Processing Research Jobs in Colorado

Collaborate with software, hardware, RF, signal processing, and operations teams to ensure ... Global workforce: flexible remote/hybrid opportunities * Work on complex, meaningful missions with ...

Audio Consultant

Boulder, CO · On-site +1

$85K - $105K/yr

Digital Signal Processing (DSP) Systems * Audio-over-IP Systems * Recording and Broadcast Audio ... Fully remote available based on qualifications. Work Model : Hybrid. Travel: As needed for project ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for ...

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for ...

This role is full-time and open to NYC-based or remote candidates. Our office is located in ... processes and patient enrollment for high-priority clinical research studies * Build cross ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Process development to support multiple groups beyond the Market Research organization.

Showing results 21-40

Remote Signal Processing Research information

What is remote signal processing research?

Remote signal processing research involves analyzing and interpreting signals—such as audio, video, or sensor data—collected from remote sources. Researchers in this field develop algorithms and techniques to filter, enhance, and extract useful information from these signals, often using tools like machine learning. This work is vital in areas such as telecommunications, medical imaging, and environmental monitoring. The 'remote' aspect means that researchers can perform these tasks from locations outside of traditional labs or offices, often collaborating online.

What are the key skills and qualifications needed to thrive as a remote signal processing researcher?

To excel as a Remote Signal Processing Researcher, you need a strong background in mathematics, signal processing theory, and programming, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with MATLAB, Python (NumPy/SciPy), and simulation tools, along with experience in data analysis and machine learning frameworks, is highly valuable. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for remote collaboration and independent research. These competencies are vital for developing innovative solutions, publishing impactful research, and effectively contributing to distributed research teams.

What are some typical challenges faced when working remotely in a signal processing research role?

Working remotely in Signal Processing Research often involves coordinating with multidisciplinary teams across different time zones, which can make real-time collaboration and problem-solving more challenging. Additionally, accessing specialized hardware or laboratory equipment may be limited, requiring creative solutions for simulation and data analysis. However, most organizations provide robust digital collaboration tools and remote access to computational resources, allowing researchers to effectively contribute to projects and publications. Open communication and proactive project management are key to overcoming these challenges.

What is the difference between Remote Signal Processing Research vs Remote Audio Signal Processing Engineer?

AspectRemote Signal Processing ResearchRemote Audio Signal Processing Engineer
Required CredentialsAdvanced degrees in electrical engineering, signal processing, or related fieldsBachelor's or master's in electrical engineering, audio engineering, or similar
Work EnvironmentResearch labs, universities, or corporate R&D teams, often focused on innovationProduct development teams, audio technology companies, or consumer electronics firms
Industry UsagePrimarily in research institutions, academia, or R&D departmentsIn manufacturing, software development, and consumer electronics industries

Remote Signal Processing Research involves exploring new algorithms and theories in signal processing, often within academic or R&D settings. In contrast, Remote Audio Signal Processing Engineers focus on applying existing techniques to develop audio products and solutions. Both roles require strong technical skills, but their focus and work environments differ significantly.

What are the most commonly searched types of Signal Processing Research jobs in Colorado?

The most popular types of Signal Processing Research jobs in Colorado are:

What are popular job titles related to Remote Signal Processing Research jobs in Colorado?

For Remote Signal Processing Research jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Remote Signal Processing Research jobs?

Cities in Colorado with the most Remote Signal Processing Research job openings:

Infographic showing various Remote Signal Processing Research job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Radar Systems Engineer

Denver, CO • On-site, Remote

LeoLabs, Inc.
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

$186K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago


Key responsibilities

  • Support the design, integration, testing, and operational deployment of advanced radar capabilities.

  • Define system requirements, evaluate radar performance, and support mission execution.

  • Collaborate with cross-functional teams to ensure successful integration and deployment of radar systems.


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.

Compensation

The base salary range for this position is $186,000 + bonus + stock options + benefits 

Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors.
Perks and Benefits

  • Global workforce: flexible remote/hybrid opportunities
  • Work on complex, meaningful missions with real-world impact
  • Unlimited paid time off for most roles
  • Competitive salary and equity packages
  • Comprehensive health, dental, and vision coverage
  • Access to the forefront of commercial space operations and defense innovation

 

ITAR Requirements 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC's website. 

 

Vendor Notification

LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered.

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.