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Phd Signal Processing Jobs in Colorado (NOW HIRING)

Software Engineer

Englewood, CO · On-site

$85K - $152K/yr

Come join the team that is creating cutting edge signal processing and geolocation systems for the ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

MS or PhD in Electrical Engineering, Physics, Applied Mathematics, or similar * 2+ years of experience in radar theory and digital signal processing * Experience developing and validating calibration ...

Radar Scientist

Golden, CO · On-site

$115K - $135K/yr

MS or PhD in Electrical Engineering, Physics, Applied Mathematics, or similar * 2+ years of experience in radar theory and digital signal processing * Experience developing and validating calibration ...

Database/Web Engineer

Englewood, CO · On-site

$85K - $113K/yr

Come join the team that is creating cutting edge signal processing, geolocation, and communication ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

Apply Early

Advanced Software Engineer

Englewood, CO · On-site

$127K - $228K/yr

Come join the team that is creating cutting edge signal processing, geolocation, and communication ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Minimum 8 years ...

Apply Early

Geolocation DSP Engineer

Englewood, CO · On-site

$110K - $148K/yr

Come join the team that is creating cutting edge signal processing, geolocation, and communication ... Master's degree or PhD in a relevant technical area; a minor in Applied Mathematics is helpful

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GNSS DSP Engineer

Louisville, CO · On-site

$149K - $174K/yr

Drive the implementation of signal processing for spaceborne GNSS remote sensing applications ... years, or PhD plus 5-7 years of professional experience in aerospace or relevant engineering ...

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site

$128K - $170K/yr

PhD in Applied Mathematics, Physics, Electrical Engineering, or related field * Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems ...

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Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

What are PhD Signal Processing professionals?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

What are some common challenges faced by professionals in PhD-level Signal Processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What are the key skills and qualifications needed to thrive as a PhD Signal Processing specialist, and why are they important?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
What cities in Colorado are hiring for Phd Signal Processing jobs? Cities in Colorado with the most Phd Signal Processing job openings:
Infographic showing various Phd Signal Processing job openings in Colorado as of June 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 94% In-person, and 6% Remote job distribution.
Sr. DSP/Communications Engineer

Sr. DSP/Communications Engineer

Rincon Research Corp

Colorado Springs, CO • On-site

$229K - $280K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 7 days ago

Be an early applicant


Job description

Why Join Rincon Research Corporation (RRC)?


At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation seeks a Sr. DSP/Communications Engineer to create cutting edge solutions to challenging national security and defense signal processing, geolocation, and communication problems. You will work in a multi-disciplinary R&D environment with similarly skilled and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and professional environment.

Come join the team that is creating cutting edge signal processing and geolocation systems for the future!

What are the primary responsibilities in the Sr. DSP/Communications Engineer position?


Core responsibilities include leading the design and implementation of digital signal processing systems for communication signals, radar signals, and other applications. This includes developing, deploying, maintaining, and testing software-based solutions. System development can include algorithm design, data analysis, hardware control, computational optimization, RF system modeling, field testing, error budget analysis, operational performance analysis, writing efficient software, testing with real data, and providing applications to front-line customer facilities. A key responsibility is staying up-to-date with the signal processing technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. You’re encouraged and expected to propose things that you believe will improve the applications and frameworks you’re working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must.



What required background will make you successful?

  • Degree (Bachelor's, Master's, or PhD) in Electrical Engineering, Applied Mathematics, or other equivalent field
  • At least 20 years' experience in a signal processing engineering-related discipline
  • Subject matter expert in DSP, including deep knowledge of DSP theory and a track record of successful system development
  • Experience as a project technical lead and/or principal investigator
  • Experience mentoring other engineers and providing technical advice to program management
  • Proficient in C++ and/or Python in LINUX environments
  • Ability to obtain and maintain TS/SCI security clearance
  • US CITIZENSHIP REQUIRED


Preferred skills:

  • Cellular communications, satellite communications, modern modulation schemes, cyclostationary techniques
  • Geolocation, radar signal processing, RF propagation and link budgets, RF system design
  • DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP)
  • Experience as technical lead on proposal efforts
  • Current TS/SCI clearance


Where is the position located?

This position is located at our Colorado Springs, CO office. Remote work/telework is not available for this position.

*The likely salary range for this position is $229,000 to $280,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

What benefits does RRC offer?

  • 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
  • Flexible reimbursement spending accounts for medical expense and dependent care
  • Immediate participation and vesting in the company’s Employee Stock Ownership Plan (ESOP) and 401(k) Plan
  • Employer contributions to RRC’s ESOP
  • Employer matching contributions to the company’s 401( k) Plan
  • Employer discretionary contributions to the company’s 401(k) Plan


Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.