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Computer Vision Engineer (f/m/x) Job Opening In Munich – Now Hiring Angsa Robotics


Job description

Your mission

  • Translate open-ended, real-world problems into well-defined machine learning problems
  • Develop and implement computer vision algorithms for object detection and semantic environment perception on offroad terrain
  • Collaborate with the robotics team to integrate the computer vision algorithms into the robot navigation stack
  • Optimize computer vision algorithms for real-time processing on low-power embedded systems
  • Conduct testing and validation of computer vision algorithms in various outdoor environments
  • Stay up-to-date with latest advancements in computer vision technology and incorporate them into Angsa Robotics' products

Your profile

  • 2+ years of experience in computer vision and perceptual tasks,
  • including but not limited to 3D perception, multi-class object detection, and image segmentation using deep learning frameworks such as PyTorch
  • Experience with 3D perception and point cloud processing using libraries such as Open3D or PCL
  • Hands-on experience with embedded GPU hardware, CUDA and TensorRT
  • Excellent programming skills in Python
  • Experience with ROS (Robot Operating System) and robot control is a plus

Why us?

✅ A shaping role in a an emerging robot company - We are moving fast and you will learn a lot
✅ A creative, passionate and international team with flat hierarchies
✅ We support sports & sustainable mobility: 9€ Ticket + significant support for Urban Sports Club
✅ 30 paid vacation days to recharge
✅ Startup Vibe: Regular team events, flexible working hours & comfortable office

About us

Removal of small trash on grass and gravel is a painful manual process, as conventional cleaning machines cannot be used there.

Angsa develops an autonomous robot, which detects even small trash items using artificial intelligence.

The detected objects are then removed in a targeted manner, preserving the grass and insects.


The autonomous robot enables festival organizers or parc administrations to save money and keep their areas clean, while increasing the cleaning speed and quality.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Computer Vision Potential: Insight & Career Growth Guide


Real-time Computer Vision Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Computer Vision in Munich, Germany, highlighting market share and opportunities for professionals in Computer Vision roles.

273 Jobs in Germany
273
24 Jobs in Munich
24
Download Computer Vision Jobs Trends in Munich and Germany

Are You Looking for Computer Vision Engineer (f/m/x) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Angsa Robotics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

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Interview Tips for Computer Vision Engineer (f/m/x) Job Success

Angsa Robotics interview tips for Computer Vision Engineer (f/m/x)

Here are some tips to help you prepare for and ace your Computer Vision Engineer (f/m/x) job interview:

Before the Interview:

Research: Learn about the Angsa Robotics's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Computer Vision Engineer (f/m/x) interview at Angsa Robotics, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Angsa Robotics's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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