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Remote Eda Software Engineer Jobs in Springfield, MO

micro1 AI

Bioinformatics Software Engineer

Springfield, MO · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Next Level Solutions

Senior Developer - Policy

Springfield, MO · On-site +1

$46.50 - $61.50/hr

  • Retirement

  • PTO

Solid understanding of software development life cycle, especially Agile environments * Experience ... Flexible work arrangements (remote or office-based in Springfield, MO; Puerto Rico; or Honduras)

Next Level Solutions

Duck Creek Policy Architect

Springfield, MO · On-site +1

$58K - $81K/yr

  • Retirement

  • PTO

You'll work closely with clients, developers, and cross-functional teams to translate business ... Strong understanding of the full software development lifecycle, including Agile environments ...

Olsson

Sr. Marketing Proposal Coordinator

Phoenix, AZ · On-site +1

We engineer and design solutions that improve the world around us. As a company, we promise to ... The ability to contribute and work well on both local and remote teams. * The ability to deploy ...

All JobsEda Software Engineer JobsRemote Eda Software Engineer JobsRemote Eda Software Engineer Jobs in Springfield, MO

Remote Eda Software Engineer information

See Springfield, MO salary details

$57.8K

$134.2K

$186.9K

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

As of Aug 18, 2026, the average yearly pay for remote eda software engineer in Springfield, MO is $134,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $157,400.00 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.

What are popular job titles related to Remote Eda Software Engineer jobs in Springfield, MO?

For Remote Eda Software Engineer jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Eda Software Engineer jobs in Springfield, MO look for?

The top searched job categories for Remote Eda Software Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Eda Software Engineer jobs?

Cities near Springfield, MO with the most Remote Eda Software Engineer job openings:

Remote Eda Software Engineer jobs near you
Infographic showing various Remote Eda Software Engineer job openings in Springfield, MO as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $134,192 per year, or $64.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Springfield, MO • Remote

$80 - $110/hr

Part-time

Posted 15 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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