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 .

Assistant Software Developer

University of Sheffield · Rotheram, S9 1ZA

University of Sheffield
Job Advert

Job Reference Number: 2308 Working Pattern: (applicable if fractional, specify days if a business requirement) Full time, working 35 hours a week, working Monday to Friday. Faculty: (if applicable) AMRC Integrated Manufacturing Group School: AMRC Closing Date: 06/04/2026

Are you interested in a placement working with some of the biggest names in Engineering? A yearlong placement is a great opportunity for students to increase their employability through hands-on experience.

We have an exciting opportunity in the AMRC Integrated Manufacturing Group for a motivated STEM student with a strong grasp of digital technology applications and a desire to learn about manufacturing environments. Based in The AMRC's state-of-the-art Factory 2050, our expanding team is seeking talented placement students to contribute to our diverse and growing project portfolio.

Involvement in the Factory 2050 Integrated Manufacturing Group (IMG) is a fantastic opportunity to influence the way products are being manufactured and to develop innovative solutions towards industrial problems in the UK. You will deal directly with some of the most advanced technologies and companies in the world, such as Airbus, Rolls-Royce, BAE Systems, Spirit AeroSystems, and GKN Aerospace, as well as diverse industries beyond aerospace.

You will work alongside Software Developers, Technical Leads, and others on a diverse range of projects. You'll play a vital role in delivering cutting-edge research projects spanning robotics, automation, and digital transformation, dealing directly with customers and other external stakeholders and occasionally travelling to visit suppliers and partner companies.

This role provides an excellent opportunity to develop your skills and gain practical experience with emerging technologies while contributing to projects that shape the future of UK manufacturing.

For this role, you will need to have a passion for one or more of the IMG’s core capabilities, which include IIoT, machine learning and AI, automation, mechanical design, data science, HMI technology (including AR/VR), connectivity (including cybersecurity), and process simulation. You will need to be studying for a relevant degree and will ideally understand the application of these technologies in a manufacturing environment.



You are expected to have:

- Experience of working with one or more of the following:
- AI / Machine Learning / Data Science
- Control systems and Software
- Networks and connectivity
- AR/VR development (Unity or Unreal)
- Digital twins
- Software development and script-based programming e.g. GO, Rust, Python, Java, C++/C#, or other
- Cyber security
- Ability to make decisions on the day-to-day use of complex technology.
- Ability to analyse and solve problems using novel approaches with an appreciation of longer-term implications.

The post is for undergraduates on an accredited degree programme only.

You must be available for an interview in April 2026. Should your application be successful you will be contacted to arrange a suitable date.



For informal enquiries about this job and the recruiting department, contact: [email protected]



The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

Find out more at sheffield.ac.uk/jobs/benefits and join us to become part of something special. We are committed to exploring flexible working opportunities which benefit the individual and University.



We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.