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 Robotics Software Engineer – Object Perception

Agilityrobotics · Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA)

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling.

About the Role

We are looking for a Senior Robotics Software Engineer to join our Skills team, focusing on object perception for real-world robot manipulation. In this role, you will be close to the real robot, owning perception performance end-to-end on hardware: from sensor inputs, to perception algorithms and models, to how those outputs are consumed by downstream planners to enable robust manipulation in real customer environments. You will work closely with other AI/ML engineers, exploring off-the-shelf models, classical computer vision, geometric reasoning, and learned approaches to build perception systems that are reliable, debuggable, and performant on real robots. In some cases, that will involve training or fine-tuning models; in others, it will mean integrating proven techniques or existing libraries to meet the task requirements efficiently.

About the Work

  • Own object perception performance on the robot, from sensors through runtime behavior integration
  • Design, implement, and deploy perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
  • Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
  • Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
  • Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
  • Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
  • Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
  • Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware

About You

  • BS or MS in Robotics or related field
  • 5+ years of professional experience building object perception systems for real robotic platforms
  • Experience working across learned models and classical perception approaches
  • Experience training, fine-tuning, and evaluating perception models
  • Strong experience writing production-quality C++ and Python code
  • Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
  • Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
  • You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
  • You’re excited to work on hardware
  • You enjoy debugging, testing, and iterating quickly in simulation and on the real robot

You Might Also Have

  • Solid understanding of spatial reasoning
  • Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
  • Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$175,000$273,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

 

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.

 

Apply Now: https://grnh.se/b444bbd04us