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Audio Signal Processing Jobs in Ohio (NOW HIRING)

NEURA Robotics

Embedded audio DSP : real‑time signal processing, mic‑array processing, low‑level audio I/O, quantized inference for on‑device deployment. * Strong programming skills in Python; solid C/C++ a ...

Sony

$50/hr

Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. * Strong analytical and programming skills in deep ...

Sony

$50/hr

Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. * Strong analytical and programming skills in deep ...

Sony

$50/hr

Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. * Strong analytical and programming skills in deep ...

Sony

$50/hr

Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. * Strong analytical and programming skills in deep ...

Access Audio

Install Technician

Cincinnati, OH · On-site

$27 - $35/hr

Lead coordination with clients, Architect, GC, EC, EE and Access Audio team once the sales process ... Proficiency in AVL signal flow and routing * Understanding of proper installation techniques

Access Audio, Inc

Install Technician

Cincinnati, OH · On-site

$20 - $26.50/hr

Lead coordination with clients, Architect, GC, EC, EE and Access Audio team once the sales process ... Proficiency in AVL signal flow and routing * Understanding of proper installation techniques

Broward College

... audio/video switchers, mixers, microphones, control systems, and videoconferencing units. In ... Performs onsite installation following a detailed signal flow or detailed diagram provided by the ...

Crunchy Tech

Freelance

Cincinnati, OH · On-site

Experiencein Audio Video hardware, software, network troubleshooting, basic tointermediate ... Signal Processing including but notlimited to: Crestron Control Systems, QSC, BSS, and ...

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Audio Signal Processing information

See Ohio salary details

$50.9K

$124.9K

$184K

How much do audio signal processing jobs pay per year?

As of Sep 13, 2026, the average yearly pay for audio signal processing in Ohio is $124,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $140,200.00 per year, depending on experience, location, and employer.

What is an audio signal processing?

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 the key skills and qualifications needed to thrive in audio signal processing?

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 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 popular job titles related to Audio Signal Processing jobs in Ohio?

For Audio Signal Processing jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Audio Signal Processing jobs in Ohio look for?

The top searched job categories for Audio Signal Processing jobs in Ohio are:

What cities in Ohio are hiring for Audio Signal Processing jobs?

Cities in Ohio with the most Audio Signal Processing job openings:

Audio Signal Processing jobs near you
Infographic showing various Audio Signal Processing job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $124,873 per year, or $60 per hour.

Audio AI Engineer (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

Other

Posted 12 days ago

Job description

Hearing is essential to how a robot understands and responds to the world. At NEURA Robotics, audio is a first-class modality: spoken instructions, contact sounds, and ambient cues all inform autonomous action. As Audio AI Engineer, you own the real‑time audio pipeline on the robot, the models that turn sound into meaning, and the voice interface that lets people speak to our humanoids the way they would to another person.

The role can emphasize conversational AI, audio ML modeling, or embedded audio DSP. We expect depth in at least one area and breadth across the others; you will lead where strongest and collaborate with AI and hardware teams on the rest.

Your mission & challenges
  • Voice Interaction Stack: You build and own the edge‑to‑cloud hybrid automatic speech recognition, text‑to‑speech, wake‑word, voice activity detection, and natural language understanding pipelines that connect the human voice to our robot's cognitive core, optimizing for low latency, multi‑speaker scenarios, and noisy real‑world environments.
  • Audio Encoder Research: You design, train, and integrate audio encoders that feed our foundation models, and develop the ambient and contact‑acoustic event recognition that gives our robot situational awareness.
  • Real‑Time Audio Pipeline: You architect the shared audio substrate from microphones to model input - acquisition, denoising, beamforming, source separation, and tight synchronization with vision and proprioception streams - and optimize it for our on‑robot compute and latency budgets.
  • Models, Data & Evaluation: You evaluate, fine‑tune, and deploy state‑of‑the‑art models across speech and general audio, drive data collection from real deployments, and build the evaluation infrastructure that turns recordings into measurable model improvements.
  • Sensor Strategy & Integration: You help select and qualify audio hardware (mic arrays, contact and tactile microphones, ADC frontends) with the hardware team, define calibration and mounting requirements, and ensure clean integration with the AI, hardware, and agentic stacks.
What we can look forward to
  • An excellent Master's or PhD in Computer Science, Electrical Engineering, Computational Linguistics, or a related field.
  • 3+ years of professional experience in audio‑related AI engineering.
  • A proven track record: your projects show measurable impact, whether through publications, shipped systems, or both.
  • Depth in at least one of the following, with curiosity and breadth across the others:
    • Conversational AI: ASR, TTS, NLP/NLU, dialogue systems, real‑time speech systems with LLMs.
    • Audio ML modeling: audio representation learning, multimodal / VLA foundation models with an audio branch, generative audio.
    • Embedded audio DSP: real‑time signal processing, mic‑array processing, low‑level audio I/O, quantized inference for on‑device deployment.
  • Strong programming skills in Python; solid C/C++ a plus for real‑time and on‑device work.
  • Familiarity with ROS or robotics middleware is a plus.
  • Experience with agentic frameworks and LLM tool‑use is a plus.
  • Experience with audio simulation, room acoustics, or spatial audio is a plus.
  • Hands‑on experience setting up audio recording equipment for ML data collection (microphone selection, placement, calibration) is nice to have.
  • Team spirit, initiative, and the ability and willingness to explore new paths.
  • Excellent English skills; German is optional but welcome.
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