Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Software Engineer, Factory Automation

Redwoodmaterials · San Francisco, California, United States

About Redwood Materials

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.

Software Engineer, Factory Automation

Essential Duties:

We are seeking a Staff or Senior Software Engineer, Factory Infrastructure to join us as we build the next generation of deployment and simulation infrastructure for our factory control systems. This role will be instrumental in designing and implementing cloud infrastructure, establishing software architecture patterns, and creating robust testing environments for our Beckhoff PLC-based factory control system. 

You'll work at the intersection of cloud infrastructure, industrial automation, and software architecture—designing systems that enable our controls and machine learning engineers to develop, test, and deploy factory automation solutions with confidence. This is an opportunity to build foundational infrastructure that will scale with our rapidly growing manufacturing operations while mentoring engineers across multiple disciplines. 

Responsibilities will include: 

  • Design and implement AWS infrastructure using the Cloud Development Kit (CDK), establishing patterns and best practices for infrastructure as code 
  • Architect application systems and provide software architecture guidance for applications built by machine learning engineers and controls engineers 
  • Lead the design and development of deployment and simulation infrastructure for our Beckhoff PLC-based factory control system, including comprehensive testing environments and CI/CD pipelines 
  • Create documentation, tools, and training materials to help controls engineers effectively use the simulation and test ecosystem 
  • Collaborate with cross-functional teams to gather requirements, mentor engineers on best practices, and participate in technical planning for long-term infrastructure strategy 

Desired Qualifications:

  • B.S. or advanced degree in Software Engineering, Computer Science, or another discipline with significant relevant work experience 
  • Minimum 5+ years of software development experience with demonstrated expertise in infrastructure, systems design, and AWS services (preferably using AWS CDK) 
  • Experience designing and implementing deployment pipelines, testing frameworks, and simulation environments; familiarity with industrial control systems or PLCs is a plus 
  • Strong understanding of software architecture patterns with ability to provide technical guidance to engineers from diverse backgrounds 
  • Excellent communication skills, self-motivated attitude, and a passion for sustainability and making the world a better place! 

Physical Requirements:  

  • Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards.
  • Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards 

Working Conditions:  

  • Environment, such as office or outdoors.
  • Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time. 
  • Essential physical requirements, such as climbing, standing, stooping, or typing. 
  • Occasional work weekends, nights, or be on-call as a regular part of the job. 
  • Occasional travel requirements.

The position is full-time and located in San Francisco, CA Compensation will be commensurate with experience.  

In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills. 

California Pay Range:
$150,000$200,000 USD

The position is full-time. Compensation will be commensurate with experience.

 

We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at [email protected].