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 .

Embedded Software Engineer

Nauto · Palo Alto, CA

At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives.

Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth.

Key Qualifications

  • You are self motivated and driven with solid programming skills for delivering applications for embedded platforms.
  • You have strong Android/Linux/RTOS Platform and Application development experience.
  • Strong C/C++ Development skills.
  • 5+ years excelling in software engineering roles with track record of successful delivery of production quality software for embedded automotive applications, preferably developing and delivering Edge AI solutions.
  • BS in Computer Science, Computer Engineering or relevant technical field required, MS a plus.
  • Experienced working with Neural Networks, integrating and optimizing on edge / mobile devices. 
  • Experience working on computer vision and media processing application on edge/mobile device.
  • Experience troubleshooting and debugging edge AI systems, addressing performance bottlenecks and issues.

Key Responsibilities

  • As a member of our Device Engineering team, you will be responsible for development of Automotive Applications, integrating into the Nauto device platforms, as well as the platforms of key partners and OEMs.
  • Partner with algorithm development teams to deploy AI models on edge devices.
  • Optimize models for inference on edge devices.
  • Experience in ASPICE and ASIL is a plus.
  • Collaborate with Product Management to translate customer needs to ML solutions.
  • Write Unit Test and System Test modules for verification and validation.
  • You will be working with hardware engineers to create firmware and software for the hardware being designed with hardware and deliver functionality for the platform.
  • You will own the delivery of your code from end-to-end, automating continuous integration and delivery.

Why You’ll Love Working at Nauto

  • Competitive hourly wage
  • Stock options
  • Comprehensive health benefits (medical, dental, vision) for employees and qualified dependents
  • Healthcare spending accounts (FSA, HSA)
  • 401K retirement plan
  • Up to 20 weeks of parental leave
  • Flexible PTO policy

Location

  • San Francisco Bay Area (Hybrid) 

We are committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination.

To all recruitment agencies: Nauto does not accept agency resumes. Please do not forward resumes to our jobs alias, Nauto employees or any other company location. Nauto is not responsible for any fees related to unsolicited resumes.

The US base salary range for this full-time position is $180,000-$230,000 + commission + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US, remote locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and/or training.

Your recruiter can share more about the specific salary range for your work location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity or benefits.