Computer Vision Engineer resume skills and keywords
In 62 Computer Vision Engineer job postings from 47 employers analysed on October 23, 2026, the most requested skills are Computer vision (92 %), Python (71 %), Robotics (69 %), C++ (66 %) and Algorithms (65 %). Of the top 40 skills, 34 are hard skills, tools or certifications and 6 are soft skills.
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Top 40 skills in Computer Vision Engineer job postings
| Skill | Share of postings | Type |
|---|---|---|
| Computer vision | 92 % | Hard skill |
| Python | 71 % | Tool |
| Robotics | 69 % | Hard skill |
| C++ | 66 % | Tool |
| Algorithms | 65 % | Hard skill |
| Machine learning | 53 % | Hard skill |
| PyTorch | 45 % | Tool |
| Object detection | 37 % | Hard skill |
| Communication | 34 % | Soft skill |
| Segmentation | 32 % | Hard skill |
| Deep learning | 31 % | Hard skill |
| Mentoring | 31 % | Soft skill |
| Lidar | 27 % | Hard skill |
| Security clearance | 26 % | Certification |
| SLAM | 26 % | Hard skill |
| Calibration | 23 % | Hard skill |
| Publication | 23 % | Hard skill |
| Leadership | 23 % | Soft skill |
| Localization | 21 % | Hard skill |
| TensorFlow | 19 % | Tool |
| Semantic | 18 % | Hard skill |
| Collaboration | 18 % | Soft skill |
| Multi-object tracking | 16 % | Hard skill |
| NVIDIA Jetson | 16 % | Hard skill |
| Camera calibration | 16 % | Hard skill |
| OpenCV | 16 % | Hard skill |
| Linux | 16 % | Tool |
| Debugging | 15 % | Hard skill |
| Labeling | 15 % | Hard skill |
| Edge deployment | 13 % | Hard skill |
| System design | 13 % | Hard skill |
| Software development | 11 % | Hard skill |
| CI/CD | 11 % | Tool |
| Git | 11 % | Tool |
| Machine Learning Models | 11 % | Hard skill |
| Flexibility | 11 % | Soft skill |
| Semantic segmentation | 11 % | Hard skill |
| Embedded systems | 10 % | Hard skill |
| Problem Solving | 10 % | Soft skill |
| C++ and Python | 10 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (25)
- Computer vision 92 %
- Robotics 69 %
- Algorithms 65 %
- Machine learning 53 %
- Object detection 37 %
- Segmentation 32 %
- Deep learning 31 %
- Lidar 27 %
- SLAM 26 %
- Calibration 23 %
- Publication 23 %
- Localization 21 %
- Semantic 18 %
- Multi-object tracking 16 %
- NVIDIA Jetson 16 %
- Camera calibration 16 %
- OpenCV 16 %
- Debugging 15 %
- Labeling 15 %
- Edge deployment 13 %
- System design 13 %
- Software development 11 %
- Machine Learning Models 11 %
- Semantic segmentation 11 %
- Embedded systems 10 %
Soft skills (6)
- Communication 34 %
- Mentoring 31 %
- Leadership 23 %
- Collaboration 18 %
- Flexibility 11 %
- Problem Solving 10 %
Tools and software (8)
- Python 71 %
- C++ 66 %
- PyTorch 45 %
- TensorFlow 19 %
- Linux 16 %
- CI/CD 11 %
- Git 11 %
- C++ and Python 10 %
Certifications and licenses (1)
- Security clearance 26 %
Keyword phrases recruiters use
Multi-word phrases that recur across these computer vision engineer postings, with the share of postings that use each one.
How to use this on your resume
Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.
Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.
Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the Computer Vision Engineer resume example. Then prepare for the Computer Vision Engineer interview questions that test them.
Build a computer vision engineer resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.