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Audio Signal Processing Jobs in Texas (NOW HIRING)

... mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative ... Signal Audio devices to market. You will play a fundamental role in bringing to market next ...

Product Marketing Manager - Consumer

Austin, TX · On-site

$152K/yr

... processing. Our rockstar team thrives on solving complex challenges with innovative end-user ... You will make an impact on revenue and product direction of audio and high-performance mixed-signal ...

... mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative ... Our high-performance chips enable an incredible audio experience with highly integrated, platform ...

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for ...

... mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative ... and audio power amplifiers for mobile devices. What You'll Do * Develop and implement next ...

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Audio Signal Processing information

See Texas salary details

$49.8K

$122.4K

$180.3K

How much do audio signal processing jobs pay per year?

As of Jun 9, 2026, the average yearly pay for audio signal processing in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

What is an Audio Signal Processing job?

An Audio Signal Processing job involves analyzing, modifying, and enhancing sound signals using digital and analog techniques. Professionals in this field work with speech processing, music production, noise reduction, and sound recognition applications. They use algorithms, filters, and machine learning to manipulate audio for various industries, including entertainment, telecommunications, and healthcare. Knowledge of digital signal processing (DSP), programming languages like Python or MATLAB, and audio engineering principles is essential.

What are some typical projects or tasks that professionals in Audio Signal Processing work on?

Professionals in Audio Signal Processing often work on developing and optimizing algorithms for noise reduction, audio enhancement, speech recognition, and music analysis. Daily tasks may include analyzing audio datasets, simulating and testing signal processing algorithms, and collaborating with software engineers, hardware designers, or product developers to implement solutions. They frequently participate in both individual research and teamwork settings, requiring regular communication and problem-solving sessions. These projects are pivotal in industries like consumer electronics, telecommunications, automotive, and entertainment, offering diverse opportunities for learning and growth.

What are the key skills and qualifications needed to thrive in the Audio Signal Processing position, and why are they important?

To excel in Audio Signal Processing, a strong background in digital signal processing, mathematics, and proficiency in programming languages such as Python, MATLAB, or C++ is essential, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with industry-standard tools like MATLAB, LabVIEW, audio analysis software, and DSP hardware, as well as relevant certifications, is highly valuable. Critical thinking, problem-solving, and effective communication skills help professionals collaborate with multidisciplinary teams and convey complex technical concepts clearly. These proficiencies ensure effective development and optimization of audio algorithms, meeting project requirements and driving innovation in audio technologies.

What are the most commonly searched types of Audio Signal Processing jobs in Texas? The most popular types of Audio Signal Processing jobs in Texas are:
What job categories do people searching Audio Signal Processing jobs in Texas look for? The top searched job categories for Audio Signal Processing jobs in Texas are:
Infographic showing various Audio Signal Processing job openings in Texas as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $122,372 per year, or $58.8 per hour.

$4K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Institute Of Renewable Natural Resources

Proposed Minimum Salary

$4,583.34 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

AboutTexas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory

As thenation'slargestmostcomprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System.With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Clickhereto learn more about howyoucan be a part of AgriLife and make a difference in the world!

PositionInformation

The Texas A&M Natural Resources Institute (NRI) is seeking an innovative and interdisciplinary Postdoctoral Research Associate to serve as an Acoustic Ecologist / Wildlife Research Scientist and advance cutting-edge wildlife monitoring and conservation efforts. This position emphasizes integrating acoustic technologies, artificial intelligence, and ecological field research to address complex conservation challenges.

The successful candidate will bridge wildlife science and audio engineering to design, implement, and analyze acoustic monitoring systems for species detection, behavior analysis, and habitat assessment across diverse ecosystems.

Responsibilities:

  • Design and implement acoustic monitoring programs for wildlife populations.
  • Develop and apply AI-driven methods for analyzing large-scale acoustic datasets.
  • Integrate acoustic data with traditional ecological research and field surveys.
  • Customize, deploy, and maintain acoustic recording hardware and sensor systems.
  • Collaborate with interdisciplinary teams to enhance conservation strategies and decision-making.
  • Publish findings in peer-reviewed journals and contribute to technical reports.
  • Support applied conservation initiatives, including endangered species monitoring.

Required Qualifications:

  • Ph.D. in Wildlife Science, Rangeland Ecology, Fisheries, or a closely related field.

Preferred Qualifications:

  • Demonstrated expertise in wildlife research, ecological field methods, and data analysis.
  • Strong analytical skills, including familiarity with AI or machine learning applications.
  • Formal training or professional experience in audio engineering, recording arts, or signal processing.
  • Experience with acoustic software platforms (e.g., Pro Tools, Nuendo, Cubase).
  • Background in electronics, equipment design, or system optimization for field applications.
  • Experience integrating multimedia, visualization, or communication tools into scientific workflows.
  • Experience with acoustic recording technologies and signal processing.
  • Proven record of scientific publication and collaborative research.

Required Knowledge, Skills, and Abilities:

This position highlights a rare and highly valuable interdisciplinary skill set that combines:

  • Advanced wildlife research expertise with extensive publication and applied conservation experience.
  • Specialized training in acoustic recording, audio engineering, and signal analysis.
  • Innovative application of AI technologies to ecological and acoustic datasets.
  • Hands-on capability to design and optimize field-ready acoustic systems tailored to conservation needs.

What You Need to Know

Salary:Compensation for this position is commensurate based on the selected candidate's qualifications.

Position Funding: This position is grant funded and availability is contingent on grant funding.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit packageincluding the following:

  • Health, dental, vision, life and long-term disability insurancewith Texas A&M AgriLife contributing to employee health and basic life premiums

  • 12-15 days of annual paid holidays

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Employee Wellness Initiative for Texas A&M AgriLife

ApplicantInstructions

Applications received by Texas A&MAgriLifemust either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

RequiredDocuments

CV/ Resume

Cover letter

List of references

Certifications/additional documentation

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.