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Digital Signal Processing Jobs in Arizona (NOW HIRING)

This role focuses on designing high-speed digital circuits for applications such as missile guidance, video processing, and digital signal processing , leveraging technologies like FPGAs, processors ...

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 ...

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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$15

$44

$82

How much do digital signal processing jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for digital signal processing in Arizona is $44.03, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $57.12 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 various roles such as audio and speech processing engineers, communications engineers, radar and sonar system designers, and image processing specialists. These jobs often require knowledge of algorithms, programming languages like MATLAB or C++, and experience with signal processing hardware or software 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 real-time processing remains essential. DSP skills continue to be valuable in developing advanced communication, audio, and image processing systems.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often with extensive experience, advanced skills, and additional compensation like bonuses or stock options. High-level positions in technology companies or executive engineering roles are more likely to reach this salary level.

Is signal processing a good career?

Digital Signal Processing is a specialized field within engineering that involves analyzing and modifying signals using mathematical techniques and software tools like MATLAB or Python. It offers opportunities in industries such as telecommunications, audio, and defense, often requiring a strong background in mathematics and programming. The field provides steady demand and potential for advancement, making it a viable career choice for those interested in technology and problem-solving.

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 are the most commonly searched types of Digital Signal Processing jobs in Arizona? The most popular types of Digital Signal Processing jobs in Arizona are:
What job categories do people searching Digital Signal Processing jobs in Arizona look for? The top searched job categories for Digital Signal Processing jobs in Arizona are:
What cities in Arizona are hiring for Digital Signal Processing jobs? Cities in Arizona with the most Digital Signal Processing job openings:
Digital Signal Processing (DSP) Engineer, Viasat Government, Early Career

Digital Signal Processing (DSP) Engineer, Viasat Government, Early Career

Viasat, Inc.

Tempe, AZ

$105K - $158K/yr

Other

Posted 10 days ago


Viasat rating

3.4

Company rating: 3.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 78 rated telecommunications companies


Job description

About us
One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
In this role, you will propose concepts to solve customer problems. You will develop the system along with our customers by bringing to bear technology assets across Viasat Government and our partners. The products and systems to be defined include V-Band Cross-links, V-Band Radar, Special Communications, Wideband Receivers, and Channelizer applications. You will develop the algorithms vital to solve a wide range of DSP challenges. You will build system solutions from your algorithms by supporting their development from simulations to instantiations on DSP/FPGA/GPU platforms.
The day-to-day
We are thrilled to announce an exciting opportunity for a Digital Signal Processing (DSP) Engineer to join our dynamic team in Tempe, AZ, to start as soon as possible!
The DSP work can be broken into three major development cycles that you will be responsible for:
  • Floating-point simulation (Matlab) - Starting with a customer challenge, you will research, then design, the DSP algorithms required to tackle that challenge,
  • Fixed-point modeling (Simulink) - Given the evidence provided from floating-point simulation, you will build a digital logic model that proves how logic blocks can process equivalent math within the constraints of the platform (when applicable).
  • Lab implementation support - From the fixed-point modeling, you will generate test vectors that must be matched by team members in the Digital group. You will support the Digital team's implementation and ultimately own the performance of the DSP algorithm as it is applied to the specific platform.

Additional Details:
  • This position is site-based. Site-based employees work 3+ days (60%+) per week from a Viasat office or work location within a standard five-day work week. While this means employees are mostly and consistently onsite, Viasat embraces a flexible work environment. Relocation assistance is available pending eligibility.
  • As an Early Career hire, you will participate in our Graduate Development Program during your first 12 months at Viasat. This program is designed to support your transition from university to the workplace through dedicated mentorship, building relationships with your cohort of new grad hires, technical upskilling, soft skills development and more to ensure you're set up for success as you begin your professional journey with Viasat.

What you'll need
Requirements:
  • Education: Bachelor's degree in Electrical Engineering, Computer Science, or a related field.
  • Experience: This role is intended for someone with 0-3 years of full-time, relevant industry experience.
  • Citizenship: U.S. Citizenship required.
  • Active DoD Top Secret Clearance or ability to obtain when administratively feasible
  • Ability to travel up to 10%

Additional:
  • Knowledge of modem, radar, and/or signal processing fundamentals
  • Ability to derive module/box requirements from system level requirements
  • Ability to perform systems level analysis
  • Strong communication skills - both verbal and written
  • Must be comfortable developing and presenting briefings

What will help you on the job
  • Up to 3 years applied signal processing experience
  • M.S. or Ph.D. degree in Electrical Engineering, Computer Science or equivalent professional experience
  • Active DoD Top Secret clearance with SSBI/SCI
  • Demonstrated experience writing discrete-time simulations in Matlab, Simulink, C/C++, or Python
  • Demonstrated experience with architectural definition, design, and integration
  • Demonstrated experience in random processes, communication theory, and spectral analysis
  • Demonstrated experience in collaborating with customers
  • Demonstrated experience with Space-Time Adaptive Processing (STAP)
  • AESA/phased array or EW experience
  • Detailed design or hands on hardware test experience
  • Digital implementation work on FPGAs (or equivalent)

Salary range
$85,000.00 - $134,000.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $105,000.00- $158,000.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at careers.viasat.com/LifeAtViasat/Benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

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About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986