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Digital Signal Processing Jobs in Austin, TX (NOW HIRING)

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this ...

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

Job Summary We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this ...

Digital IC Design Engineer

Austin, TX · On-site

$134K/yr

Low-power digital signal processors * Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power radio MAC/PHY * Low-power serial link MAC/PHY * Design and ...

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/yr

Low-power digital signal processors * Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power radio MAC/PHY * Low-power serial link MAC/PHY * Design and ...

... of digital signal processing and numerical analysis Familiarity with the basics of probability and statistics Minimum Qualifications BS degree in technical discipline with minimum 10 years of ...

Description We are seeking an experienced Optical DSP Chief Architect to lead the system architect of cutting-edge Digital Signal Processing (DSP) solutions for high-speed optical communication ...

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for data link communication ...

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Digital Signal Processing information

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How much do digital signal processing jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for digital signal processing in Austin, TX is $46.83, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $60.77 per hour, depending on experience, location, and employer.

What kind of projects or problems do Digital Signal Processing professionals typically work on?

Digital Signal Processing professionals are often involved in projects such as designing audio and image processing systems, developing communications protocols, and optimizing algorithms for real-time data analysis. Their daily responsibilities might include modeling signals, simulating and testing algorithms, and working with cross-functional teams to integrate DSP solutions into products like medical devices, consumer electronics, or telecommunications equipment. Team collaboration is common, especially when working with hardware and software engineers to ensure seamless system integration. This dynamic role offers the chance to solve challenging technical problems and continually learn new technologies, making it ideal for those who enjoy innovation and hands-on problem-solving.

What is a Digital Signal Processing job?

A Digital Signal Processing (DSP) job involves designing, developing, and optimizing algorithms that manipulate digital signals, such as audio, image, or sensor data. Professionals in this field work with mathematical models and programming languages like MATLAB, Python, or C/C++ to filter, compress, and analyze signals. DSP engineers are commonly employed in industries like telecommunications, biomedical engineering, audio processing, and defense. Their role may include hardware implementation, software development, and real-time signal processing. Strong analytical skills and a background in mathematics and engineering are essential for success in this field.

What jobs use digital signal processing?

Digital Signal Processing (DSP) skills are used in roles such as DSP engineer, audio engineer, communications engineer, and radar systems engineer. These jobs involve designing, implementing, and optimizing algorithms for audio, video, telecommunications, and sensor data analysis, often requiring knowledge of programming languages like MATLAB or C++ and experience with signal processing tools.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a specialized field that involves designing algorithms and systems for analyzing and modifying signals. While AI can automate some tasks within DSP, it is unlikely to fully replace DSP professionals, as expertise in signal analysis, hardware integration, and algorithm development remains essential. DSP skills continue to be valuable in industries like telecommunications, audio engineering, and radar systems.

Is digital signal processing a good career?

Digital Signal Processing (DSP) is a specialized field within engineering that involves analyzing and modifying signals using mathematical techniques and software tools like MATLAB. It offers opportunities in industries such as telecommunications, audio, and defense, often requiring strong programming skills and knowledge of algorithms. The field is considered technically challenging but can provide stable employment and growth potential for those with relevant expertise.

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

To thrive in Digital Signal Processing (DSP), you need a strong background in mathematics, signal processing theory, and programming, often supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, LabVIEW, and DSP hardware platforms is highly valuable, and certifications in DSP or embedded systems can enhance your profile. Excellent problem-solving skills, teamwork, and the ability to communicate complex technical information clearly are crucial soft skills. These abilities are essential for developing, optimizing, and implementing signal processing algorithms that address real-world engineering challenges.

What engineers make $500,000 a year?

In the field of digital signal processing, senior engineers with extensive experience, advanced skills in algorithms and hardware design, and leadership roles can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or within large technology companies. Such compensation often includes bonuses, stock options, or profit sharing. Achieving this level typically requires a combination of specialized expertise, advanced degrees, and significant industry experience.
What are popular job titles related to Digital Signal Processing jobs in Austin, TX? For Digital Signal Processing jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Digital Signal Processing jobs in Austin, TX look for? The top searched job categories for Digital Signal Processing jobs in Austin, TX are:
What cities near Austin, TX are hiring for Digital Signal Processing jobs? Cities near Austin, TX with the most Digital Signal Processing job openings:
Infographic showing various Digital Signal Processing job openings in Austin, TX as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $97,408 per year, or $46.8 per hour.

Digital Signal Processing (DSP) Engineering Scientist - GNSS

University of Texas at Austin

Austin, TX • On-site

Other

Medical, Retirement, PTO

Posted 21 days ago


University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

139th of 614 rated colleges and universities


Job description

Job Posting Title:

Digital Signal Processing (DSP) Engineering Scientist - GNSS

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Hiring Department:

Applied Research Laboratories

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt from FLSA

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

PICKLE RESEARCH CAMPUS

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Job Details:

Purpose

This position will implement and optimize algorithms which will combine strong mathematical foundations with software engineering skills to create efficient, real-time signal processing solutions, with a primary focus on implementation over algorithm design and development.

Responsibilities
  • Algorithm Design & Development: Design and develop GNSS signal processing algorithms including acquisition, tracking, correlation, and demodulation. Translate mathematical models and specifications into efficient software implementations. Optimize algorithms for performance, latency, memory, and power constraints. Prototype and validate algorithms through simulation and testing.
  • Implementation & Optimization: Implement DSP algorithms in Python/C/C++ or other appropriate languages. Optimize code for real-time performance on target platforms. Develop and maintain reusable signal processing libraries and components. Perform code reviews and ensure implementation quality. Debug and resolve signal processing issues.
  • Signal Analysis & Modeling: Analyze GNSS signals in various domains. Develop simulation models and other testing methodologies to validate algorithms. Characterize system performance under various operating conditions. Investigate and resolve signal processing anomalies.
  • System Integration & Collaboration: Integrate DSP components into larger systems and applications. Work with hardware teams to implement algorithms on target platforms. Define interfaces and APIs for signal processing modules. Collaborate with firmware, software, and hardware teams on system architecture.
  • Documentation & Best Practices: Document algorithm designs, specifications, and implementation details. Create and maintain technical specifications. Maintain code in version control. Adhere to coding standards and best practices.
  • Other related functions as assigned.
Required Qualifications
  • Bachelor's degree in engineering, computer or information science, or other applied sciences.
  • Three years of experience in digital signal processing or related field
  • Strong foundation in signal processing theory
  • Proficiency in Python or C or C++ for algorithm implementation
  • Understanding of real-time processing constraints and optimization techniques
  • Understanding of discrete-time signals and systems
  • Knowledge of spectral analysis and transforms
  • Familiarity with common filter designs and implementations
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Attention to detail and commitment to quality

Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment.The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously.Regular and punctual attendance in the workplace is required.

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Preferred Qualifications
  • Experience with GNSS signal processing

  • Experience with signal processing simulation tools

  • Experience with embedded processors, GPUs, or FPGAs for signal processing

  • Familiarity with receiver architectures for satellite navigation

  • Knowledge of carrier-phase tracking and positioning algorithms

  • Experience with hardware description languages such as Verilog or VHDL

  • Familiarity with radio frequency (RF) front-end systems

  • Experience with CPU-based high performance computing clusters for signal processing

  • Experience with software defined radios/receivers

  • Eligibility for immediate access to classified information.

  • Ten or more years experience in digital signal processing

  • Cumulative GPA of 3.0.

General Notes

An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.

Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.

Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.

UT Austin offers a competitive benefits package that includes:
* 100% employer-paid basic medical coverage
* Retirement contributions
* Paid vacation and sick time
* Paid holidays
Please visit our Human Resources (HR) website to learn more about the total benefits offered.

Salary Range

$104,000 - $174,000+/negotiable depending on qualifications

Working Conditions
  • Standard office conditions

  • Repetitive use of a keyboard at a workstation

  • Use of manual dexterity

  • Some weekend, evening and holiday work

  • Possible interstate/intrastate travel

Required Materials
  • Resume/CV

  • 3 work references with their contact information; at least one reference should be from a supervisor

  • Letter of interest

  • Unofficial College Transcripts

Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.


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