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Remote Eda Software Engineer Jobs in Duluth, MN (NOW HIRING)

Quora

iOS Engineer -Remote

Duluth, MN · Remote

$61.63 - $88.47/hr

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 ...

All JobsEda Software Engineer JobsRemote Eda Software Engineer JobsRemote Eda Software Engineer Jobs in Duluth, MN

Remote Eda Software Engineer information

See Duluth, MN salary details

$63.1K

$146.5K

$204.1K

How much do remote eda software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote eda software engineer in Duluth, MN is $146,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $171,800.00 per year, depending on experience, location, and employer.

What is a remote EDA software engineer?

A Remote EDA Software Engineer is a professional who designs, develops, and maintains Electronic Design Automation (EDA) software tools, while working from a location outside of a traditional office setting. EDA software is critical for designing and verifying integrated circuits and electronic systems. Remote EDA Software Engineers collaborate with hardware engineers, participate in code reviews, and contribute to software solutions using programming languages like C++, Python, or Java. Their work supports the creation of faster, smaller, and more efficient electronic devices. Remote roles often require strong communication skills and proficiency with online collaboration tools.

What are some common challenges faced by remote EDA software engineers, and how can they be addressed?

Remote EDA Software Engineers often encounter challenges such as effective collaboration with globally distributed teams and maintaining clear communication across time zones. Since EDA projects typically involve complex problem-solving and integration with hardware teams, staying aligned through regular video meetings, detailed documentation, and using collaborative development tools is key. Additionally, keeping up with evolving EDA tools and technologies requires continuous learning, which can be managed by participating in online training and industry forums. Proactive communication and self-motivation are crucial for thriving in this remote role.

What are the key skills and qualifications needed to thrive as a remote EDA software engineer?

To thrive as a Remote EDA Software Engineer, you need strong programming skills (often in C++, Python, or Java), a solid understanding of algorithms and data structures, and a background in electronic design automation or electrical engineering. Familiarity with industry-standard EDA tools (like Synopsys, Cadence, or Mentor Graphics), version control systems, and relevant certifications can be highly beneficial. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills, especially for collaborating across distributed teams. Mastering these skills ensures the development of efficient, reliable EDA solutions while maintaining productivity and cohesion in a remote work environment.

What is the difference between Remote Eda Software Engineer vs Remote PCB Design Engineer?

AspectRemote Eda Software EngineerRemote PCB Design Engineer
Required CredentialsBachelor's in Electrical Engineering or Computer Science; knowledge of EDA toolsBachelor's in Electrical Engineering or related; PCB design certifications preferred
Work EnvironmentSoftware development teams, remote collaborationDesign teams, remote or on-site collaboration
Industry UsageElectronics, semiconductor, tech companiesElectronics manufacturing, hardware development
Common Search/ComparisonYesYes

The main difference is that Remote Eda Software Engineers focus on developing and maintaining electronic design automation software, while Remote PCB Design Engineers specialize in creating printed circuit board layouts. Both roles require electrical engineering knowledge, but the EDA Software Engineer emphasizes software skills, whereas the PCB Design Engineer emphasizes hardware design expertise.

What job categories do people searching Remote Eda Software Engineer jobs in Duluth, MN look for? The top searched job categories for Remote Eda Software Engineer jobs in Duluth, MN are:
Remote Eda Software Engineer jobs near you
Infographic showing various Remote Eda Software Engineer job openings in Duluth, MN as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $146,522 per year, or $70.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Duluth, MN • Remote

Full-time

Re-posted 17 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