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Remote Audio Signal Processing Jobs in Ohio (NOW HIRING)

$99K - $130K/yr

... kernels, implementing signal processing algorithms, implementing hardware abstraction layers ... Columbus This position is fully remote within the US East Coast, with preference for candidates ...

... signal processing and administrative systems. * Analyzes previous year's inspection reports to ... Performs other duties as directed. #LI-Remote #LI-MB1 * High School diploma or equivalent required

This is a flexible, fully remote opportunity where you can provide consults from a private setting ... in audio/video and intuitive EMR module Benefits: • Excellent consultation-based pay • No ...

... processes to make work work better. Our software solutions harness the power of AI and shape the ... Risk Identification & Mitigation · Monitor customer health trends and signals, identifying ...

$40K - $50K/yr

At Wing, we give growing businesses access to the top tier of global remote talent supercharged by ... If you would like more information about how your data is processed, please contact us.

$40K - $50K/yr

At Wing, we give growing businesses access to the top tier of global remote talent supercharged by ... If you would like more information about how your data is processed, please contact us.

$40K - $50K/yr

At Wing, we give growing businesses access to the top tier of global remote talent supercharged by ... If you would like more information about how your data is processed, please contact us.

EM66D Category: R&D Design, Onsite/Remote A Copywriter is responsible for creating persuasive and ... Familiarity with video and audio production, incorporating multimedia elements into marketing ...

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Remote Audio Signal Processing information

What is the difference between Remote Audio Signal Processing vs Remote Audio Engineering?

AspectRemote Audio Signal ProcessingRemote Audio Engineering
CredentialsKnowledge of audio algorithms, signal processing certificationsAudio engineering certifications, experience with recording/mixing
Work EnvironmentPrimarily software-based, focused on digital signal manipulationStudio or live sound environments, often involving hardware setup
Industry UsageTech companies, software development, audio tech startupsMusic production, broadcasting, live events
Search & Comparison IntentFocus on technical signal processing skillsFocus on audio production and engineering expertise

Remote Audio Signal Processing involves developing and applying algorithms to manipulate audio signals digitally, often requiring programming and technical skills. Remote Audio Engineering focuses on capturing, mixing, and producing audio content, emphasizing hands-on technical and creative skills. While both roles work remotely and in the audio industry, their core responsibilities and skill sets differ significantly.

What is remote audio signal processing?

Remote audio signal processing refers to the analysis, modification, and enhancement of audio signals using digital algorithms, typically performed from a location different from where the audio was recorded or is being used. Professionals in this field work with technologies such as noise reduction, echo cancellation, audio compression, and effects processing, often leveraging cloud-based tools and platforms. This allows for real-time audio improvements or transformations in applications like teleconferencing, streaming, and music production, all managed remotely.

What are some common challenges faced by professionals in remote audio signal processing roles, and how can they be addressed?

Professionals in remote audio signal processing often encounter challenges such as latency issues, inconsistent audio quality due to varying internet connections, and difficulties in real-time collaboration with team members or clients. To address these, it’s important to use reliable communication platforms, leverage cloud-based audio tools that support version control, and establish clear file-sharing protocols. Regular virtual meetings and clear documentation can also help ensure smooth collaboration and consistent project outcomes.

What are the key skills and qualifications needed to thrive as a Remote Audio Signal Processing Engineer, and why are they important?

To excel as a Remote Audio Signal Processing Engineer, you need strong knowledge of digital signal processing (DSP), audio algorithms, and programming skills, typically supported by a degree in electrical engineering, computer science, or a related field. Expertise in tools like MATLAB, Python, C++, and familiarity with platforms such as JUCE or VST, as well as experience with audio editing and analysis software, is highly valuable. Excellent problem-solving, communication, and self-motivation are essential soft skills for managing tasks independently and collaborating with distributed teams. These skills and qualifications are critical for developing high-quality audio solutions and ensuring effective project delivery in a remote work environment.
What job categories do people searching Remote Audio Signal Processing jobs in Ohio look for? The top searched job categories for Remote Audio Signal Processing jobs in Ohio are:
What cities in Ohio are hiring for Remote Audio Signal Processing jobs? Cities in Ohio with the most Remote Audio Signal Processing job openings:

$99K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Rosenxt is a forward-thinking technology group - we are visionary architects of progress with 45 years of engineering excellence.
As a privately owned global partner, we look far beyond tomorrow, are committed to the long-term and thus turning opportunities into successful ventures. We are tech enthusiasts through and through, diving deep into the latest technologies. This expertise in various technology fields, such as sensors, autonomous robotic, AI or advanced materials and our strong R&D mindset allows us to develop highly innovative products and services for customer in most challenging environments such as subsea, industrial, renewables, or the integrity of water and energy supply. Our purpose goes beyond pure business; it's about creating progress and sustainable value - for our customers, our partners, and society at large.
Why work for Rosenxt?
The US team of Rosenxt is an extended team of people with a passion for technology and innovation. Our ongoing organic growth results in career opportunities and gives our employees chances for further development and added experience. We are a tight-knit group of interdisciplinary engineers, working closely together with state-of-the-art technologies and top-notch engineers around the world. We strive to create a supportive and rewarding environment so everyone can excel.
Our San Luis Obispo, California team primary focuses on developing both software and hardware for prototype sensors used in non-destructive testing. This involves programming near hardware-software interfaces, developing or modifying embedded device drivers on Linux and other embedded kernels, implementing signal processing algorithms, implementing hardware abstraction layers, interfacing with FPGAs, and targeting resource-constrained processors. Our Columbus, Ohio Software and Data Science team works with large data, developing machine learning models to deliver high quality solutions to our partners.
Rosenxt USA seeks to add a:
Workgroup Lead
Location:
Columbus
This position is fully remote within the US East Coast, with preference for candidates located in or near Columbus, Ohio, and close collaboration with our supervisory organization in Germany as well as our US legal entity management in California.
We are a technology-driven company with several innovative business units in the growth phase. While we maintain certain centralized structures, we foster an agile, start-up-like spirit. Our teams develop advanced AI and software solutions that process large sensor datasets, build intelligent cloud services, and power real-time edge applications. We operate in domains where security, reliability, and engineering excellence are essential.
In this international environment, you will lead a multidisciplinary engineering team working mostly remotely across different US regions and Europe.
Summary
We are looking for a Workgroup Lead to be the on-the-ground engineering leader for our US-based team. You will have line management responsibility for a cross-disciplinary team of approximately [12?] engineers spanning AI/ML, cloud backend, frontend, and DevOps. You will serve as the US leadership anchor within a distributed organization that operates across US, Europe, and Southeast Asia.
This role reports to the Head of Software and AI, with additional task management from the Head of AI, based in Europe, and partners closely with US branch management in California. It is designed for someone who thrives with a high degree of autonomy and wants to shape how a growing team operates.
Responsibilities
People Leadership
  • Own line management for a co-located team of AI/ML engineers, software engineers, and DevOps engineers across the US.
  • Hold regular 1:1s, set development goals, conduct performance reviews, and support career growth for each team member.
  • Build a cohesive, high-trust team culture in a distributed environment where colleagues span multiple US regions and Europe.
  • Encourage transparency, ownership, and continuous learning within the team.

Delivery
  • Support the team's delivery cadence, ensuring work is planned, blockers are removed early, and commitments are met.
  • Drive engineering quality standards: CI/CD pipelines, code review practices, cloud automation, monitoring, and documentation.
  • Identify process gaps and implement improvements that help the team deliver more effectively.

Cross-organization collaboration
  • Build a strong team culture and improve collaboration between engineers who work across different US regions and Europe. Act as the primary link between the US engineering team and the supervisory AI organization in Germany.
  • Collaborate with US branch management in California on HR, operational, and organizational processes.

Technical Engagement
  • Participate meaningfully in technical discussions around AI/ML pipelines, cloud infrastructure, and system architecture. You don't need to be the deepest specialist, but you need to engage credibly.
  • Help the team make sound architectural decisions and maintain alignment with the broader technology strategy.

Qualifications
Essential skills
  • 7+ years in software engineering, with at least 3 years in a people leadership or team management role.
  • Demonstrated experience managing cross-disciplinary engineering teams (not solely AI/ML or solely traditional software).
  • Strong people skills: coaching, motivation, constructive feedback, performance management, and handling difficult conversations.
  • Proven ability to build team cohesion and maintain high morale in distributed or fully remote settings.
  • Depth in at least one of: AI/ML systems, cloud-native backend services, or DevOps, with working fluency across the others.
  • Excellent communication skills, particularly across time zones, cultures, and organizational boundaries.
  • B.S. in Computer Science, AI/ML, Software Engineering, or a related technical field.

Desirable skills
  • M.S. or higher in a relevant discipline.
  • Experience with AI/ML systems in production environments (beyond experimentation or proof-of-concept).
  • Background in industrial, safety-critical, or regulated environments (oil & gas, subsea, energy, defense, or similar).
  • Familiarity with regulatory frameworks such as the EU AI Act or equivalent compliance standards.
  • Experience working within or reporting to a European parent organization.
  • Entrepreneurial mindset - comfortable operating with ambiguity, taking initiative, and building processes from the ground up.

Soft skills
  • Communication: Communicate effectively across organizational levels, cultures, and time zones
  • People development: Actively coach and develop team members across different technical disciplines, providing constructive feedback, identifying growth paths, and having difficult conversations when needed
  • Conflict resolution and trust-building: Build cohesion within a cross-disciplinary team, navigate interpersonal friction constructively, and foster psychological safety
  • Influence: Build relationships and drive alignment through persuasion and credibility
  • Adaptability: Guide a team through organizational change, evolving scope, and ambiguity as the organization scales, adjusting approaches when needed
  • Prioritization and delegation: Manage the team's workload effectively, make trade-off decisions, shield the team from unnecessary noise, and know when to delegate versus when to step in.
  • Curiosity and continuous learning: Stay current with developments in AI/ML and engineering practices, but also with evolving approaches to engineering management and team health
  • Organizational awareness: Understand how decisions impact across projects and geographies, read the broader business landscape, and know when to escalate, when to absorb, and when to advocate.
  • Purpose-driven leadership: Connect the team's daily work to the broader mission(s) of the organization, keeping people motivated and engaged
  • Self-starter: Operate proactively with a high degree of autonomy, identifying opportunities and problems before they surface, and building processes and structures where none yet exist.

Our Offer:
Rosenxt offers an exceptional working environment, salary commensurate with experience and incredible benefits package.
Benefits include:
  • 401(k) matching up to 5%, immediately vested
  • Generous health benefits, effective immediately
  • Medical (PPO, HSA), Dental, Vision, Flexible Spending Accounts
  • Flexible work schedule (Friday half-days off)
  • Incredible work-life balance and flexibility
  • Immediate Vacation time available, Holidays, Paid Time Off
  • Travel to Europe to work with Rosenxt colleagues
  • Employee assistance program
  • Life insurance
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Tuition reimbursement