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Entry Level Digital Signal Processing Jobs (NOW HIRING)

Research and development of advanced digital signal processing (DSP) algorithms * High-fidelity radar and RF modeling, simulation, and analysis. Related tool feature development and maintenance

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Entry Level Digital Signal Processing information

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$53.5K

$131.3K

$193.5K

How much do entry level digital signal processing jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level digital signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by entry-level digital signal processing (DSP) engineers, and how can they prepare for them?

Entry-level DSP engineers often encounter challenges such as bridging the gap between theoretical concepts and practical implementation, learning to work with specialized DSP hardware and software tools, and debugging complex signal flows. Working on real-world projects, collaborating closely with more experienced engineers, and proactively seeking feedback can help smooth the transition. Staying current with industry-standard tools like MATLAB, Python, and embedded C/C++ also greatly aids in overcoming these early hurdles.

What jobs use digital signal processing?

Digital Signal Processing (DSP) is used in various roles such as audio and speech processing, telecommunications, radar and sonar systems, image and video processing, and biomedical engineering. Entry-level DSP jobs often involve developing algorithms, working with embedded systems, and using tools like MATLAB or Python to analyze and improve signal data.

What are the key skills and qualifications needed to thrive as an Entry Level Digital Signal Processing Engineer, and why are they important?

To thrive as an Entry Level Digital Signal Processing (DSP) Engineer, you need a solid background in mathematics, signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, and DSP simulation platforms, as well as experience with embedded systems or FPGA development, are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate technical information clearly will help you stand out. These skills and qualities are essential for accurately analyzing signals, implementing algorithms, and contributing effectively to engineering teams.

What is the difference between Entry Level Digital Signal Processing vs Entry Level Audio Engineer?

AspectEntry Level Digital Signal ProcessingEntry Level Audio Engineer
Required CredentialsDegree in Electrical Engineering, Computer Science, or related field; knowledge of DSP algorithmsDegree in Audio Engineering, Music Production, or related; familiarity with audio equipment
Work EnvironmentResearch labs, tech companies, electronics manufacturingRecording studios, live venues, broadcasting stations
Industry UsageTechnology, telecommunications, consumer electronicsMusic, entertainment, broadcasting

While both roles involve audio and signal processing, Entry Level Digital Signal Processing focuses on developing algorithms and software for digital signals in technical environments. In contrast, Entry Level Audio Engineer emphasizes hands-on audio recording, mixing, and live sound. The roles differ mainly in their focus—technical development versus practical audio production—though they share foundational knowledge of signals and audio principles.

What are entry level digital signal processing jobs?

Entry level digital signal processing (DSP) jobs are positions for recent graduates or those new to the field, focusing on analyzing, modifying, and interpreting digital signals such as audio, video, or sensor data. These roles typically involve supporting engineers in designing, testing, and implementing algorithms used in various technologies, from telecommunications to multimedia. Entry level DSP professionals use programming languages like MATLAB, Python, or C/C++ and work under the guidance of senior engineers to develop practical solutions for real-world signal processing challenges.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for entry-level DSP roles, involving the analysis and manipulation of signals. While AI can automate some tasks, DSP skills remain essential for designing and optimizing signal processing systems, and professionals with knowledge of both areas are increasingly valuable. AI tools may augment DSP work but are unlikely to fully replace the need for human expertise in this field.

Is DSP hard to learn?

Digital Signal Processing (DSP) as a job role involves understanding concepts like filters, Fourier transforms, and algorithms, which can be challenging for beginners. Learning DSP typically requires a strong foundation in mathematics, programming skills in languages like MATLAB or Python, and practice with real-world applications, but with dedicated study, it is achievable for entry-level professionals.

Is digital signal processing a good career?

Digital Signal Processing (DSP) is a specialized field within engineering that involves analyzing and modifying signals using algorithms and software tools. It offers opportunities in industries such as telecommunications, audio and video processing, and defense, often requiring knowledge of programming languages like MATLAB or Python. The field typically requires a strong foundation in mathematics and engineering principles, and entry-level roles can lead to advanced positions with experience and additional certifications.
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Infographic showing various Entry Level Digital Signal Processing job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
Digital Signal Processing (DSP) Engineering Scientist - GNSS

Digital Signal Processing (DSP) Engineering Scientist - GNSS

The University of Texas at Austin

Austin, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 14 days ago


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

134th of 560 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

Important for 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 that ALL Required 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 questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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.
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.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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.
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.
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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