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 .

Senior Software Engineer - Navigation

Apptronik · Austin, TX

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.

We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY:

As a Senior Software Engineer - Navigation at Apptronik, you will lead the development of advanced navigation systems that empower our general-purpose robots to seamlessly operate in human environments. These robots are designed to move, work, and interact alongside people — in spaces built for humans — performing meaningful tasks that improve efficiency and quality of life.

You will be responsible for designing and deploying high-performance, robust, and scalable navigation software that allows our robots to traverse dynamic, semi-structured environments safely and intelligently. This role sits at the intersection of autonomy, perception, and controls, requiring both deep technical expertise and strong systems-level thinking.

Essential Duties and Key Responsibilities

  • Architect, implement, and deploy state-of-the-art navigation systems for humanoid robots operating in human-centric environments.
  • Design global and local path planning methods, incorporating obstacle avoidance, recovery behaviors, and failure-mode handling.
  • Encode human-aware navigation behaviors for safe, predictable motion in shared spaces.
  • Work closely with Autonomy, Perception, and Controls teams to deliver cohesive, real-world-capable navigation systems.
  • Validate algorithms in both high-fidelity simulation and physical robot environments.
  • Create automated and continuous integration test frameworks for robust software delivery.
  • Maintain well-documented, modular codebases with rigorous code reviews and CI pipelines.
  • Author technical design documents and system diagrams.
  • Guide junior engineers, foster a culture of collaboration, and uphold Apptronik’s core values: Curiosity, Humility, Integrity, Passion, and Creativity.

 

Skills and Required Qualifications

  • Strong proficiency in C++ (modern standards) in a Linux environment.
  • Deep understanding of robot navigation fundamentals, including:
    • Path planning, motion control, collision avoidance, and estimation.
    • Mapping and localization (e.g., SLAM).
    • Multi-agent planning or human-aware navigation is a plus.
  • Familiarity with reinforcement learning or learning-based planning methods.
  • Experience integrating navigation stacks with perception and control systems.
  • Proven track record of delivering production-grade navigation software for autonomous robots.
  • Experience with real-world robot testing, debugging, and tuning.
  • Experience with ROS/ROS2, CI/CD, and modern software development best practices.
  • Strong debugging and profiling skills for performance optimization.
  • Strong cross-functional collaboration and communication skills.
  • Thrives in a fast-paced, hands-on environment delivering real-world results.


EDUCATION and/or EXPERIENCE

  • MS or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field (or BS with equivalent industry experience).
  • 5+ years developing and deploying navigation or autonomy systems for mobile robots.

 

PHYSICAL REQUIREMENTS

  • [Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate]

 

 

 

*This is a direct hire.  Please, no outside Agency solicitations. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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