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Phd Signal Processing Jobs in Colorado (NOW HIRING)

Rincon Research Corp

Sr. Software Engineer

Centennial, CO · On-site

$190K - $260K/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 15 ...

Rincon Research Corp

Sr. Software Engineer

Centennial, CO · On-site

$190K - $260K/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 15 ...

Socket.dev

Sr. Systems Engineer

Centennial, CO · On-site

$107K - $147K/yr

Advanced degree (MS or PhD) in Systems Engineering or related discipline * Direct experience working with DoD, DoW, and/or Intelligence Community customers * Familiarity with signal processing ...

Rincon Research Corp

Sr. Systems Engineer

Centennial, CO · On-site

$222K - $242K/yr

Advanced degree (MS or PhD) in Systems Engineering or related discipline * Direct experience working with DoD, DoW, and/or Intelligence Community customers * Familiarity with signal processing ...

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Phd Signal Processing information

What is a PhD signal processing professional?

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 are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

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 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 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.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

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

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

What job categories do people searching Phd Signal Processing jobs in Colorado look for?

The top searched job categories for Phd Signal Processing jobs in Colorado are:

What cities in Colorado are hiring for Phd Signal Processing jobs?

Cities in Colorado with the most Phd Signal Processing job openings:

Phd Signal Processing jobs near you
Infographic showing various Phd Signal Processing job openings in Colorado as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 39% Part Time, 4% Contract, and 2% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Advanced Database Engineer

Centennial, CO • On-site

Rincon Research Corp
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees
Learn more about Rincon Research Corpexternal

$167K - $205K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 16 days ago

Key responsibilities

  • Designs database architecture solutions and develops and implements databases.

  • Analyzes and maintains operational databases, including testing with real data and supporting front-line customer facilities.

  • Stays up-to-date with the latest technologies, tools, and methodologies, and experiments with new technologies to incorporate innovative solutions into projects.

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 (RRC), an employee-owned company, is seeking an Advanced Database Engineer to work with a multidisciplinary team to create robust solutions to challenging signal processing, geolocation, and communication problems. This position requires strong organizational skills, technical aptitude, and the ability to operate effectively in a dynamic, mission-focused 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 Advanced Database Engineer position?


Core responsibilities include designing database architecture solutions, developing and implementing databases, analyzing and maintaining operational databases, and adding new features to operational systems. This will include testing with real data and providing support to front-line customer facilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. 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?

  • Current TS/SCI Clearance
  • US CITIZENSHIP REQUIRED
  • Degree (Bachelor's, Master's, or PhD) in Computer Science, Data Science, Computer Engineering, or related technical field
  • Minimum 10 years of experience in database engineering, database administration, data management, or software development supporting an engineering-related domain
  • Demonstrated experience with deploying, administrating, managing, and scaling enterprise-level PostgreSQL database systems in Linux environments
  • Proficient in SQL, Python, and shell scripting in Linux environments
  • Experience with PostgreSQL database tuning, backup, recovery, and fail-over concepts in an enterprise-level environment 
  • Demonstrated experience with large data management, data pipeline, and ETL concepts
  • In addition to PostgreSQL, demonstrated hands-on experience with enterprise implementations using one or more RDBMS and NoSQL database software solutions, such as Oracle, MS SQL Server, Citus Data, MongoDB, Elasticsearch, Couchbase, Cassandra, or Redis
  • Demonstrated ability to design software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements


Preferred skills: 

  • Security+ certification
  • DevOps and Cloud computing experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, and PIP)
  • Experience with developing spatial database solutions supporting GIS software such as QGIS, PostGIS, Geoserver, and ArcGIS
  • Experience with Agile software development processes
  • Experience with one or more of the following: Python, C++, Golang, Rust, or Java, 
  • Experience with AL/ML development
  • Experience building dashboards using Grafana and/or Kabana
  • Experience with implementing and managing RDBMS databases using Storage Area Network (SAN) solutions, such as Everpure, NetApp, or EMC
  • Familiarity with developing backend REST APIs using JavaScript frameworks and/or Python frameworks
  • Familiarity with frontend Web development using JavaScript frameworks including Vue, React, and/or Angular 
  • Familiarity with modern software engineering practices for testability and readability
  • Ability to mentor other engineers and provide technical advice to project leaders

 

Where is the position located?

This position can be located at our Chantilly, VA; Centennial, CO or Tucson, Arizona Headquarters.

*The likely salary range for this position is $167,000 to $205,000. 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.