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 .

Principal Robotics Systems Engineer

Gatherai · Pittsburgh, PA - USA

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About You

As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance.

What You’ll Do

  • Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments.
  • Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces.
  • Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. 
  • Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras).
  • Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements.

Requirements

  • BS, MS, or PhD in Systems Engineering, Robotics, Mechanical or Electrical Engineering, Computer Science, or a related field.
  • 10-15 years of experience in systems engineering, with a significant focus on complex hybrid hardware/software systems.
  • Demonstrated technical ownership of major cross-functional product development initiatives.
  • Comfort with complex algorithms in the robotics domain - finding, evaluating, and applying algorithms in mixed language (C++/Python) systems.
  • Understanding of considerations regarding mechanical mounts, power and RF, and ingress protection.
  • Expertise in the integration and performance characterization of passive sensing systems (e.g., perception, localization, mapping) and/or active robotic systems (e.g., navigation, control).
  • Proven track record of defining and verifying system requirements for complex autonomous systems.
  • Strong communication skills, particularly in writing documents that identify critical requirements and explain challenging problems clearly.
  • Persistence and calm leadership in an agile work environment.