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Remote Eda Software Engineer Jobs (NOW HIRING)

BridgePoint Works

Software Engineer

Houston, TX · Remote

$60 - $75/hr

Software Engineer (Remote USA) | $60-$75 per Hour Do You Want to Build Software That Shapes the Future? At Bridgepoint Works , we're not just about concrete and steel were about cutting-edge ...

YO AI Labs

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Smart Data

2337 Java Software Engineer

Cincinnati, OH · Remote

$50.50 - $69.25/hr

REMOTE EST/CST Years of Experience: 10+ TOP SKILLS: Must Have * 10+ years of JAVA/SpringBoot hands ... EDA) Kafka experience Kubernetes experience OpenShift Red Hat Strong skills in Java, Spring ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

YO AI Labs

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

YO AI Labs

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

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Remote Eda Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of Aug 29, 2026, the average yearly pay for remote eda software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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 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 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 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.

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Remote Eda Software Engineer jobs near you
Infographic showing various Remote Eda Software Engineer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

AI Software Engineer Expert - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Posted 18 days ago

Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.