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 .

Application/Integration Engineer

Botauto · Houston, TX

Company Introduction

At Bot Auto, we build autonomous trucks to transform the way goods are transported and improve the quality of life for communities worldwide. With a start-up spirit yet long-established experience, Bot Auto has the most seasoned team that has delivered several world’s first and world’s only. Together, we share vision, we see and build miracles and we drive the future of transportation. Join us and turn your dream into something RUNNING.

Position Overview

We are looking for a highly skilled Application Engineer to bridge the gap between advanced R&D and real-world truck operations. You will play a dual role:

  • First, as a Manufacturing & Integration Engineer: Ensuring our autonomous kits are perfectly retrofitted onto truck chassis. This includes process standardization, quality control implementation, and continuous improvement in manufacturing operations.
  • Second, as a Technical Troubleshooter: Ensuring our fleet remains operational through rigorous diagnosis of complex sensor and system issues during daily operations. 

The ideal candidate must have approved 5+ years experience in mechanical engineering, electrical engineering, manufacturing engineering, or system engineering.

Key Responsibilities

1. Truck Retrofitting & Production Development (From Design to Line)

This core area focuses on "building the machine." You will ensure the transition from engineering prototypes to scalable, high-quality retrofitted trucks.

  • Production Equipment & Tooling: Design and implement specialized manufacturing tools, jigs, fixtures, and End-of-Line (EOL) testing equipment to improve efficiency.
  • Process Engineering (SOP & PFMEA): Develop and maintain Standard Operating Procedures (SOPs) for vehicle retrofitting. Lead PFMEA sessions to identify and mitigate potential risks in the assembly process.
  • On-site Technical Support: Serve as the primary technical point of contact on the shop floor, resolving real-time engineering issues and communicating design change requirements back to the ME/EE teams.
  • NPI & DFM: Collaborate with design teams (New Product Introduction) to ensure manufacturability (DFM) and review electrical/mechanical designs for smooth integration.
  • Quality & Standards: Establish inspection methods to ensure all retrofitted trucks comply with ISO/IATF and safety standards.

2. Truck Troubleshooting & Fleet Operations (System Diagnosis)

This core area focuses on "keeping the machine running." You will be the expert for autonomous driving system stability during daily fleet operations.

  • AD Sensor Diagnosis: Perform deep-dive root cause analysis on LiDAR, Camera, and Radar hardware/software issues (e.g., data dropouts).
  • Drive-by-Wire (DbW) Support: Troubleshoot complex interaction issues between the autonomous system and truck chassis components like steering and braking actuators.
  • Data-Driven Problem Solving: Utilize diagnostic tools and communication protocols (CAN, LIN, Automotive Ethernet) to analyze logs and identify system failures.
  • Fleet Health Monitoring: Support daily fleet operations by providing rapid response to vehicle-down situations, ensuring high uptime for our autonomous testing and logistics missions.
  • CAPA Implementation: Implement Corrective and Preventive Actions (CAPA) based on recurring field issues to improve future vehicle iterations.

Qualifications

Required:

  • Experience: 5+ years of experience in manufacturing, electrical, or systems engineering within the automotive or robotics industry.
  • Technical Skills: * Proficiency in PFMEA and root cause analysis (RCA) methodologies.
    • Hands-on experience with CAD software (SolidWorks or AutoCAD) for fixture design.
    • Solid understanding of vehicle electrical systems and the ability to read complex electrical diagrams.
  • AD Knowledge: Familiarity with autonomous driving sensors (LiDAR, Camera) and vehicle communication protocols (CAN/CAN-FD, Ethernet).
  • Soft Skills: Strong communication skills to bridge the gap between shop-floor technicians and R&D engineers; a "hands-on" mindset.

Preferred:

  • Experience in autonomous vehicle, electric vehicle (EVs), or robotic system manufacturing.
  • Familiarity with Python, MATLAB, or LabVIEW for data processing and automation scripting is a plus but not required.
  • Strong analytical skills with the ability to interpret manufacturing data and performance metrics.
  • Knowledge of vehicle communication protocols (CAN, LIN, and Automotive Ethernet) and diagnostic tools for production testing.
  • Basic knowledge of vehicle electrical systems.
  • Knowledge of ISO 9001, IATF 16949, and automotive regulatory requirements.
  • Better to have basic knowledge of ISO 16750, SAE J1455