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Audio Software Engineer Remote Jobs in Utah (NOW HIRING)

iOS Engineer -Remote

Salt Lake City, UT · Remote

$166.68K - $191.40K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Sr. Software Engineer (Full-stack)

Ogden, UT · On-site +1

$83.20K - $178.80K/yr

This role is hybrid (4 days on-site / 1 day remote) at our Ogden, UT or Kansas City metropolitan ... software engineer OR a bachelor's degree in computer science, Information Systems, or similar ...

AI Automation Engineer -Remote

Ogden, UT · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Orem, UT · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Salt Lake City, UT · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

West Jordan, UT · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Logan, UT · On-site +1

$202.38K - $234.20K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware), is an end-to-end Field Service Management platform that helps contractors run their business, grow ...

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware), is an end-to-end Field Service Management platform that helps contractors run their business, grow ...

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Audio Software Engineer Remote information

What are the key skills and qualifications needed to thrive as an Audio Software Engineer (Remote), and why are they important?

To thrive as an Audio Software Engineer (Remote), you need a solid background in computer science, digital signal processing (DSP), and audio programming, often supported by a relevant degree and experience in C++ or similar languages. Familiarity with audio development frameworks (such as JUCE or VST), version control systems (e.g., Git), and sometimes certifications in audio engineering or software development are typically expected. Excellent problem-solving, communication, and self-management skills are essential for effective collaboration and productivity in a remote setting. Mastery of these technical and soft skills is crucial to deliver high-quality audio applications, meet project goals, and work efficiently as part of a distributed team.

How does an Audio Software Engineer typically collaborate with cross-functional teams in a remote setting?

As a remote Audio Software Engineer, you’ll frequently collaborate with product managers, UX designers, and QA testers, often through virtual meetings and project management tools. Clear communication is essential, as you'll need to discuss technical requirements, share progress updates, and resolve integration challenges with other engineers. Regular code reviews, documentation, and participation in sprint planning are common to ensure everyone stays aligned. This collaborative approach not only drives innovation in audio features but also helps maintain a cohesive and efficient workflow, even when working remotely.

What is an Audio Software Engineer (Remote)?

An Audio Software Engineer (Remote) is a technology professional who specializes in designing, developing, and maintaining software related to audio processing, such as digital audio workstations, plugins, or sound synthesis tools, while working from a remote location. Their work often involves programming in languages like C++, Python, or JavaScript, and using audio frameworks such as JUCE or Core Audio. They collaborate with other engineers, sound designers, and product managers to create high-quality audio experiences for users. Remote audio software engineers leverage online communication tools to coordinate with teams across different locations.
What are the most commonly searched types of Audio Software Engineer jobs in Utah? The most popular types of Audio Software Engineer jobs in Utah are:
What job categories do people searching Audio Software Engineer Remote jobs in Utah look for? The top searched job categories for Audio Software Engineer Remote jobs in Utah are:
What cities in Utah are hiring for Audio Software Engineer Remote jobs? Cities in Utah with the most Audio Software Engineer Remote job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Other

Posted 6 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.