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Remote Hardware Design Engineer Jobs in Lewiston, ID

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... industry design standards, and configuration tools (e.g., ABB Empower). * At least 8 years of ...

iOS Engineer -Remote

Moscow, ID · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

While this is a full remote position, there is preference for candidates located in the Northern California area. Main Accountabilities: * Lead and support engineering design activities for new and ...

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information Technology at the start of a multi-year data modernization initiative. As a Data Engineer, you will design ...

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

Remote Hardware Design Engineer information

See Lewiston, ID salary details

$69.6K

$147.7K

$215.3K

How much do remote hardware design engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote hardware design engineer in Lewiston, ID is $147,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $174,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Hardware Design Engineer vs Remote Electronics Design Engineer?

AspectRemote Hardware Design EngineerRemote Electronics Design Engineer
Required CredentialsBachelor's in Electrical Engineering or related field; experience in hardware designBachelor's in Electronics Engineering or similar; proficiency in circuit design
Work EnvironmentDesign labs, remote collaboration, CAD toolsElectronics labs, remote teamwork, simulation software
Industry UsageConsumer electronics, industrial hardware, IoT devicesConsumer electronics, telecommunications, embedded systems

Remote Hardware Design Engineers and Remote Electronics Design Engineers share similar educational backgrounds and work environments, focusing on designing electronic hardware components. The main difference lies in their specialization: hardware engineers often work on physical device design, while electronics engineers may focus more on circuit and system-level electronics. Both roles are vital in tech industries and frequently searched for by employers and professionals alike.

Infographic showing various Remote Hardware Design Engineer job openings in Lewiston, ID as of August 2026, with employment types broken down into 72% Full Time, 6% Part Time, 3% Temporary, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,700 per year, or $71 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Moscow, ID • 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.