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Robot Framework Python Jobs in Ohio (NOW HIRING)

NEURA Robotics

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 ...

Statheros

Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills ... Strong programming skills in Python; familiarity with Rust or other languages is a plus.

NEURA Robotics

Strong programming skills in Python and C++ * Solid understanding of AI / machine learning ... Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets ...

Kintara

Software Engineer - Backend

Grandview Heights, OH

$57.69 - $76.92/hr

You'll work directly with software engineers, robotics and controls engineers, manufacturing teams ... Strong proficiency with a backend language such as Node.js, Python, Go, or Java. * Experience ...

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Kintara

Software Engineer - Backend

Grandview Heights, OH · On-site

$120K - $160K/yr

You'll work directly with software engineers, robotics and controls engineers, manufacturing teams ... Strong proficiency with a backend language such as Node.js, Python, Go, or Java. * Experience ...

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Jobtailor

Group AI Technical Specialist

Lancaster, OH · On-site

... frameworks * Advise leadership on AI maturity, risks, and long-term capability development ... Lead discovery, evaluation, and prioritization of AI opportunities in robotics, welding, visual ...

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Robot Framework Python information

What is the difference between Robot Framework Python vs Test Automation Engineer?

AspectRobot Framework PythonTest Automation Engineer
Required SkillsPython, test automation, scriptingProgramming, testing, automation tools
Work EnvironmentAutomation testing, QA teamsSoftware development, QA teams
Industry UsageTest automation, QA projectsSoftware testing, quality assurance
CertificationsPython certifications, testing tools

Robot Framework Python is a test automation framework utilizing Python for scripting, mainly used for automating tests in QA teams. Test Automation Engineers design and implement automated tests, often using frameworks like Robot Framework Python. While both roles involve automation and testing skills, Robot Framework Python focuses on scripting within a specific framework, whereas Test Automation Engineers may work with multiple tools and programming languages to develop comprehensive testing solutions.

Is the Robot Framework in demand?

Robot Framework Python developers are increasingly in demand as automation and testing become more integral to software development. Skills in Python, test automation, and familiarity with the Robot Framework are valuable in industries seeking efficient quality assurance processes.

What are popular job titles related to Robot Framework Python jobs in Ohio?

For Robot Framework Python jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Robot Framework Python jobs in Ohio look for?

The top searched job categories for Robot Framework Python jobs in Ohio are:

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Robot Framework Python jobs near you

Audio AI Engineer (human)

On-site

NEURA Robotics
See more jobs at NEURA Roboticsexternal

Other

Posted 10 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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