ZipRecruiter

Log In

2

Entry Level Digital Signal Processing Jobs in Illinois

Pinnacle Talent Recruiter, LLC

Be Seen First

Engine Control Systems Engineer

Chillicothe, IL · On-site

Utilize expertise in engines and dynamic feedback controls--including frequency and time domain design, Multi Input Multi Output (MIMO) systems, digital signal processing, filter design, and logical ...

IMEG

Acoustic Consultant

Chicago, IL

$14 - $19/hr

Proficiency of fundamentals of acoustics, fundamentals of vibration, engineering acoustics, noise control, digital signal processing, electroacoustics, human responses to acoustics and vibration

Pearl Technology

AV Installation Technician

Pekin, IL · On-site

$19 - $25.25/hr

Capability with audio digital signal processing equipment such as QSYS, Audio Architect, Biamp, or similar systems. * Proficient with networking, diagnosing and troubleshooting of audiovisual systems.

Pearl Technology

AV Installation Technician

Bloomington, IL · On-site

$20 - $26.50/hr

Capability with audio digital signal processing equipment such as QSYS, Audio Architect, Biamp, or similar systems. * Proficient with networking, diagnosing and troubleshooting of audiovisual systems.

Pearl Technology

AV Installation Technician

Normal, IL

$20.25 - $27/hr

Capability with audio digital signal processing equipment such as QSYS, Audio Architect, Biamp, or similar systems. * Proficient with networking, diagnosing and troubleshooting of audiovisual systems.

Pearl Technology

AV Installation Technician

Peoria Heights, IL · On-site

$19.75 - $26.25/hr

Capability with audio digital signal processing equipment such as QSYS, Audio Architect, Biamp, or similar systems. * Proficient with networking, diagnosing and troubleshooting of audiovisual systems.

next page

Showing results 1-20

All JobsDigital Signal Processing JobsEntry Level Digital Signal Processing JobsEntry Level Digital Signal Processing Jobs in Illinois

Entry Level Digital Signal Processing information

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.
What are the most commonly searched types of Digital Signal Processing jobs in Illinois? The most popular types of Digital Signal Processing jobs in Illinois are:
What are popular job titles related to Entry Level Digital Signal Processing jobs in Illinois? For Entry Level Digital Signal Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Digital Signal Processing jobs in Illinois look for? The top searched job categories for Entry Level Digital Signal Processing jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Digital Signal Processing jobs? Cities in Illinois with the most Entry Level Digital Signal Processing job openings:
Entry Level Digital Signal Processing jobs near you
Junior Wireless DSP/PHY Algorithm Engineer

Junior Wireless DSP/PHY Algorithm Engineer

ISCO International LLC

Schaumburg, IL • On-site

$141K - $164K/yr

Other

Posted 15 days ago

Job description

Position Description
ISCO is seeking a Junior Wireless DSP / PHY Algorithm Engineer to support the modeling and evaluation of signal processing algorithms for wireless communication systems.
In this role, you will build and adapt MATLAB-based models of DSP and PHY algorithms, following guidance from senior engineers. Your work will include simulating algorithms in a system-level framework, analyzing time-domain IQ signals, and helping validate algorithm performance under realistic conditions.
You will work with both time-domain signal processing and OFDM receiver techniques. The role involves integrating algorithms (e.g., equalization, combining, interference mitigation) into larger simulation frameworks. While your primary tool will be MATLAB, familiarity with object-oriented programming principles (from Python or other languages) will help you adapt to MATLAB's object-oriented system framework.
This position is ideal for someone who is a proficient coder, deeply familiar with signal processing principles, and eager to implement and adapt algorithms in collaboration with senior engineers.
Education/Experience
MSEE or PhD in Electrical Engineering with emphasis on digital signal processing and wireless communication systems.
2-7 years of experience developing signal processing models, simulations, or algorithms for wireless or DSP systems.
Required Skills
1. Strong proficiency in MATLAB programming, with experience building simulations or models of signal processing algorithms.
2. Solid understanding of digital signal processing fundamentals, such as filtering, spectral analysis, and time/frequency domain concepts.
3. Familiarity with wireless communication concepts such as OFDM, MIMO, channel modeling, and basic RF propagation.
4. Experience with object-oriented programming (e.g., in Python, MATLAB, or another language) and ability to adapt these principles to MATLAB's system framework.
5. Ability to translate algorithm descriptions or mathematical models into clean, well-structured MATLAB code.
6. Familiarity with OFDM receiver techniques (e.g., channel estimation, equalization, or combining methods) is a plus.
7. Experience contributing to system-level or link-level simulations is desirable.
8. Good communication skills and ability to collaborate within a team.
9. Strong curiosity and eagerness to learn and grow in wireless DSP algorithm development.
Additional Requirements
Occasional domestic travel in support of customer meetings or product trials is required. Travel is estimated at about 10% of the time.
Since ISCO makes equipment for cellular operators and cellular networks operate 24/7, on rare occasions some work (particularly during product trials) may have to be performed during off hours between 12am - 4 am or weekends.
Location
This position is at ISCO headquarters in Schaumburg, IL. Remote candidates are also strongly considered given the right set of skills and experience.
Residency Requirement
Reporting
Reports to Vice President - Engineering

Apply