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Remote Embedded Systems Engineer Jobs in Kentucky

Onco360

Telecommunications Engineer II

Louisville, KY · On-site +1

$78K/yr

This role will also evaluate and audit telecommunications networks, systems, and hardware for ... Engineer office and remote work telecom solutions that support a "work from anywhere" model through ...

Storage Solutions Inc

Software Engineer

Erlanger, KY · On-site +1

The Warehouse System is deployed in environments ranging from simple RF/manual workflows to highly ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

Storage Solutions Inc

Software Engineer

Erlanger, KY · On-site +1

The Warehouse System is deployed in environments ranging from simple RF/manual workflows to highly ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

Bluelight Consulting

Design, build, and maintain high-performance, reusable, and reliable backend systems and APIs using ... Work closely with our product managers, designers, and other engineers to translate product ...

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All JobsEmbedded Systems Engineer JobsRemote Embedded Systems Engineer JobsRemote Embedded Systems Engineer Jobs in Kentucky

Remote Embedded Systems Engineer information

What are the key skills and qualifications needed to thrive as a remote embedded systems engineer, and why are they important?

To thrive as a Remote Embedded Systems Engineer, you need a solid background in electrical engineering, proficiency in C/C++ programming, and experience with embedded hardware and software design. Familiarity with development tools such as debuggers, oscilloscopes, version control systems (like Git), and RTOS platforms, as well as certifications like Certified Embedded Systems Engineer, are commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills set top candidates apart in this role. These skills are essential for developing reliable, high-performance embedded solutions while collaborating efficiently in distributed teams.

How do remote embedded systems engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Systems Engineers often collaborate with hardware teams through video conferencing, collaborative design tools, and remote access to development boards. Regular virtual meetings are scheduled for project updates, troubleshooting, and aligning on hardware-software integration requirements. To stay effective, engineers may use remote debugging tools and sometimes ship prototype hardware to their home office, ensuring they can test and validate firmware in real time. Clear documentation and proactive communication are essential for overcoming the physical distance and ensuring successful project outcomes.

What is a remote embedded systems engineer?

A Remote Embedded Systems Engineer is a professional who designs, develops, and maintains embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems—while working remotely. These engineers work with hardware and software, often programming microcontrollers or processors, to create solutions for products like smart devices, automotive systems, or industrial machines. Their remote role means they collaborate virtually with teams, using tools for code development, debugging, and communication. Strong knowledge of C/C++, Linux, and real-time operating systems (RTOS) is often required. Remote Embedded Systems Engineers play a crucial role in the growing fields of IoT, automation, and smart technologies.

What is the difference between Remote Embedded Systems Engineer vs Remote Firmware Developer?

AspectRemote Embedded Systems EngineerRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of embedded C/C++Bachelor's in Computer Science, Electrical Engineering; proficiency in embedded C, assembly, and RTOS
Work EnvironmentDesigning and testing hardware-software integration, often in R&D labs or remote setupsDeveloping low-level code for hardware devices, often in embedded systems or IoT projects
Employer & Industry UsageElectronics, automotive, aerospace, IoT companiesConsumer electronics, industrial automation, IoT device manufacturers

While both roles involve working with embedded hardware and software, the Remote Embedded Systems Engineer typically focuses on system design, integration, and testing, whereas the Remote Firmware Developer specializes in writing low-level firmware code for specific hardware components. Both roles require similar technical skills and often overlap in industry applications.

What are the most commonly searched types of Embedded Systems Engineer jobs in Kentucky? The most popular types of Embedded Systems Engineer jobs in Kentucky are:
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What cities in Kentucky are hiring for Remote Embedded Systems Engineer jobs? Cities in Kentucky with the most Remote Embedded Systems Engineer job openings:
Remote Embedded Systems Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Louisville, KY • Remote

Full-time

Re-posted 16 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.

Apply