1

Music Ai Audio Python Jobs in Maryland (NOW HIRING)

Jr DevOps Engineer

Hanover, MD · Hybrid

$52.50 - $72/hr

Develop automation using Python and Bash * Implement Infrastructure as Code using Ansible or ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Sr DevOps Engineer

Hanover, MD · Hybrid

$129K - $166K/yr

Develop automation using Python, Bash, Ansible, and Terraform * Support hybrid cloud and ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Sr Software Engineer

Hanover, MD

$121K - $160K/yr

This role focuses on software development within Linux environments using Python and C++, with ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

DSP Algorithm Developer

Hanover, MD

$15 - $18.25/hr

... C++, Python, and Linux-based development environments. Responsibilities * Design, develop, and ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Sr Software Engineer

MD · On-site

$120K - $159K/yr

This role focuses on software development within Linux environments using Python and C++, with ... We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine ...

Showing results 41-60

Music Ai Audio Python information

What is a Music AI Audio Python developer?

A Music AI Audio Python developer is a software engineer or data scientist who specializes in creating tools, models, or applications that use artificial intelligence to analyze, generate, or manipulate music and audio data, primarily using the Python programming language. They work with machine learning libraries and audio processing frameworks to build applications such as music recommendation systems, audio classification tools, or AI-based music composition software. These professionals combine knowledge of music theory, digital signal processing, and AI to develop innovative solutions in the audio technology space.

What are the key skills and qualifications needed to thrive as a Music AI Audio Python engineer?

To thrive as a Music AI Audio Python Engineer, you need a strong background in computer science, digital signal processing, and music theory, typically supported by a degree in a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and audio libraries such as librosa is essential. Creative problem-solving, strong communication, and adaptability help you collaborate with interdisciplinary teams and innovate in music technology. These skills enable the development of advanced AI-driven music applications that meet both technical and artistic requirements.

What are some common challenges faced by Music AI Audio Python developers when integrating AI models into digital audio workstations (DAWs)?

Music AI Audio Python developers often encounter challenges when integrating AI models into DAWs, such as ensuring low-latency audio processing and maintaining compatibility with various audio formats and plugin standards. Additionally, developers must optimize AI models for real-time performance while balancing computational efficiency. Collaboration with audio engineers and musicians is common, as their feedback helps refine features and improve usability. Staying updated with the latest advancements in both AI and audio technology is also crucial for success in this dynamic role.

What is the difference between Music Ai Audio Python vs Music Producer?

AspectMusic Ai Audio PythonMusic Producer
Required SkillsProgramming, AI, audio processingMusic theory, production, sound engineering
Work EnvironmentTech companies, studios, research labsRecording studios, production houses, live events
CertificationsPython, AI, audio engineering certificationsMusic production, sound engineering certifications
Industry UsageDeveloping AI tools for music creation and analysisCreating, mixing, and producing music tracks

Music Ai Audio Python focuses on developing AI-driven audio applications using Python, requiring programming and technical skills. In contrast, a Music Producer is involved in the creative and technical process of making music, emphasizing musical skills and industry experience. Both roles are essential in the music industry but serve different functions and skill sets.

Can I make music with Music Ai Audio Python?

Music Ai Audio Python is a tool or framework used for creating music through artificial intelligence and Python programming. It allows users to generate, manipulate, or analyze audio and music data, often requiring knowledge of programming, machine learning, and digital audio processing. This makes it suitable for developers and musicians interested in AI-driven music production.

What are popular job titles related to Music Ai Audio Python jobs in Maryland?

For Music Ai Audio Python jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Music Ai Audio Python jobs in Maryland look for?

The top searched job categories for Music Ai Audio Python jobs in Maryland are:

What cities in Maryland are hiring for Music Ai Audio Python jobs?

Cities in Maryland with the most Music Ai Audio Python job openings:

Infographic showing various Music Ai Audio Python job openings in Maryland as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Senior Embedded Applications Engineer, Edge AI Lab

Columbia, MD • On-site

$80 - $100/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

New


Job description

Job Description

About the Role & The Reality AI Lab

The Renesas AIoT Center of Excellence in Columbia, MD (formerly Reality AI) is seeking a hands-on Senior Edge AI Applications Engineer to lead our physical lab setup, fabricate sensor prototyping rigs, and deploy low-power machine learning models directly onto microcontrollers (MCUs).

This is a physical, hardware-centric engineering role. You will work at the exact intersection of physical system fabrication, digital signal processing (DSP), C/C++ embedded firmware, and TinyML. You will physically instrument motor control setups, audio arrays, and vibration sensors, collect high-frequency time-series datasets off real physical targets, write DSP feature extraction, and compress ML models to run within kilobytes of RAM on Renesas MCUs.

What This Role IS NOT (Please Read Before Applying)

  • This IS NOT a Cloud AI, NLP, or LLM Role: If your primary experience is with LangChain, PySpark, RAG pipelines, or fine-tuning Large Language Models in the cloud, this role is not a fit.
  • This IS NOT a Remote Software Position: You will be physically building rigs, soldering, testing hardware with oscilloscopes, and working in our dedicated Columbia, MD lab 100% onsite.

Key Responsibilities

  • Physical Prototyping & Lab Management: Hands-on fabrication of physical prototype rigs, custom sensor arrays, and 3D-printed enclosures to capture real-world physical phenomena.
  • High-Frequency Sensor Data Acquisition: Instrument physical setups (motors, HVAC, industrial machines, automotive targets) to capture, clean, and preprocess high-frequency time-series datasets (accelerometers, acoustic, electrical, current/voltage).
  • TinyML & On-Device Model Deployment: Train, quantize (INT8/FP16), and deploy tiny machine learning models onto microcontrollers (ARM Cortex-M, Renesas RA/RX/RL78) using TensorFlow Lite for Microcontrollers, CMSIS-NN, or eIQ.
  • Digital Signal Processing (DSP): Apply DSP feature extraction (FFT, spectrograms, windowing, bandpass filtering, time-domain features) to feed edge inference pipelines.
  • Embedded Firmware & Driver Development: Write C/C++ code, bare-metal or RTOS drivers (FreeRTOS, Zephyr), and handle low-level communication (SPI, I2C, UART, CAN, DMA).
  • Technical Leadership: Lead junior lab engineers, manage physical lab setups, and collaborate cross-functionally with product and systems teams.
Qualifications
  • Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related technical field.
  • Experience: 3+ years of hands-on experience in embedded systems, hardware prototyping, and deploying edge ML/DSP algorithms onto physical hardware targets.
  • Hardware & Prototyping Skills: Proven experience with physical assembly, breadboarding, soldering, 3D printing, schematic reading, and bench debugging using JTAG/SWD, oscilloscopes, and logic analyzers.
  • Signal Processing (DSP): Demonstrated fluency in time-series and audio signal processing (spectral analysis, filtering, feature extraction in Python/MATLAB).
  • Firmware & Embedded C/C++: Hands-on C/C++ programming for MCUs, RTOS task management, DMA queues, and low-level peripheral drivers.
  • On-Device ML: Practical experience with TinyML frameworks (TensorFlow Lite Micro, CMSIS-NN, Edge Impulse) and model quantization/compression for constrained MCU targets.
Company Description

Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.

Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.

Additional Information

The expected annual pay range for this position is $84,000 - $105,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.

Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

#J-18808-Ljbffr