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Audio Signal Processing Jobs in Champaign, IL (NOW HIRING)

Cobalt Digital Inc

Sales Engineer

Champaign, IL · On-site

Cobalt offers a full range of video and audio processing openGear compliant solutions and other form factors for production trucks, master control, news, signal transport, and audio loudness ...

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Audio Signal Processing information

See Champaign, IL salary details

$53.6K

$131.5K

$193.8K

How much do audio signal processing jobs pay per year?

As of Aug 1, 2026, the average yearly pay for audio signal processing in Champaign, IL is $131,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $147,700.00 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 cities near Champaign, IL are hiring for Audio Signal Processing jobs? Cities near Champaign, IL with the most Audio Signal Processing job openings:
Audio Signal Processing jobs near you
Infographic showing various Audio Signal Processing job openings in Champaign, IL as of June 2026, with employment types broken down into 44% Full Time, 53% Part Time, and 3% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,541 per year, or $63.2 per hour.

Sales Engineer

Cobalt Digital Inc

Champaign, IL • On-site

Other

Posted 19 days ago

Job description

Company Description:

Cobalt Digital designs and manufactures award-winning ST 2110 and SDI conversion, compression, processing, routing, control, and multiviewer technology for the production, broadcast television, and ProAV environments. Cobalt offers a full range of video and audio processing openGear compliant solutions and other form factors for production trucks, master control, news, signal transport, and audio loudness processing.

Roles and Responsibilities

The Sales Engineer will assist the Sales Team and communicate complex technical solutions to Cobalt customers. The candidate must have extensive knowledge of the video and audio signal processing industry and the underlying technologies.

The Sales Engineer will team with the Sales Managers to help provide technical assistance to the sales process by recommending product or services based on the customer’s needs. Interaction with the engineering group will be necessary to communicate customer requirements and/or issues.

  • Identify current and future sales requirements by establishing personal rapport with potential and actual customers in collaboration with the sales team.
  • Provide product technical information by answering questions and requests.
  • Develop sales team and customers by providing technical material and training.
  • Help with technical proposals: workflow diagrams and product recommendation.
  • Prepare sales engineering reports by collecting, analyzing, and summarizing information on sales, engineering, competitive landscape and application trends.
  • Maintain professional and technical knowledge by attending educational workshops and reviewing professional publications.
  • Contribute to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed, courses of action and solutions’ implementation.
  • Assist main industry events such as trade shows: equipment planning, configuration, installation/pack up.
  • Support customers’ equipment evaluations/demos.
  • Communicate between sales/customer feedback and engineering.

Qualifications and Requirements

Problem Solving, Product Knowledge, Selling to Customer Needs, Presentation Skills, Technical Understanding, Verbal Communication, Requirements Analysis, Innovation, Ability to Travel, Experience in the Broadcast Industry, Organizational Skills. 4 Year degree in related technical field or advanced degree in related field. Understanding of networking, Involvement in AIMS, VSF, or SMPTE Implementation of SMPTE 2022, 2110, NMOS, or related IP systems.

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