Мы ищем таланты

Лучший способ предсказать будущее – разработать его самим

Scientific Visual постоянно ищет талантливых людей, чтобы работать над новыми задачами.

Не стесняйтесь отправить нам резюме, даже если объявленная позиция не совпадает с Вашими дипломами. Мы ставим отношение к делу и опыт выше формальностей. 

Мы не переводим вакансии на русский язык, потому что знание английского языка является обязательным критерием. 

Те, кто хочет попробовать себя в другой стране –  обратите внимание на вакансии, связанные с Marie-Curie Fellowship.

Industrial Vision System Design Engineer

Permanent Position, 100%, Lausanne

  • Are you a skilled Engineer with experience in optics and regulation?
  • Are you keen to join a high-tech company?

Scientific Visual SA has developed the world leading technology for inspecting industrial crystals used in the optics and semi-conductor industry.

To support our extension, we are recruiting engineers with strong knowledge in optics and automation of systems including design and build of Human Machine Interface (HMI) .

Initial tasks foreseen

  • Programming the scanners HMI using Labview
  • Control of actuators using TwinCat
  • Selection & design of motors assembling
  • Compilation of requirement specifications and technical documents

Technical skills requirements

  • BS or MS in Engineering (HES, ETH, TU)
  • Good knowledge in optics and industrial vision
  • Good knowledge of automation
  • Good knowledge of Labview
  • Knowledge of TwinCat/ PLC is a plus
  • At ease with electrical schematics and cabling
  • Able to support the move from prototyping to industrialization

Soft Skills

  • Capable of understanding concepts rapidly, handle issues pragmatically
  • Sense of ownership, rigorous mindset, attention to details
  • Autonomous, must be able to work with minimal supervision
  • Ability to manage priorities and keep the pace under pressure
  • Ability to engage and represent our company in front of major commercial providers or university labs

Others

  • Swiss citizenship or C, B, or S permit
  • Fluent in English and French, German is a plus


Apply Online

Internship 2022 | Software and algorithm development for crystal cutting optimization

Interested in image processing, computer vision, or tomography? Looking for an internship that entails a wide variety of tasks, a high autonomy and an opportunity to put your creativity to good use?

Join our young software engineering team and actively participate in further developing the tools to process the data generated by our in-house tomography systems.This internship will strengthen your knowledge on a variety of software topics and allow you to face new, real-world challenges.

What is it about?

Scientific Visual produces automated systems for the quality control of industrial crystals, such as sapphire, ruby, and silicon carbide, which are used in the semiconductor, watch, and medical industries.In this context, large quantities of high-definition data are collected, in particular in the form of tomographic scans (stacks of 2D images).  The scanned crystals are defined by their shape and the defects they contain. The objective of our tools is to extract and process the information useful to assess the defectiveness of a crystal. It helps to maximize the amount of high-quality LED wafers or cores that can be extracted from it. 

The company has previously developed optimization methods to provide the optimal cutting plan, maximizing crystal usage and minimizing waste, for geometric shapes such as cylinders. This internship aims to extend the project by allowing arbitrary CAD objects, such as optical lenses, to be inscribed into a defective crystal volume, considerably increasing the computational and algorithmic complexity

Hard skills

• Strong background in applied mathematics and optimization   

• Experience with optical imaging techniques is a big plus

• Capability to rapidly prototype new ideas and optimize existing code

• Fluent Python programming skills; familiarity with Git is a plus

Soft skills

• Capability to represent the company in front of customers and project partners

 • Excellent team working capabilities while able to work autonomously

 • Previous experience with processing large data

• Fluent English (written and spoken)

• Ability to socialize in French is a plus

Good to have

• German language     

• Knowledge in optics

Starting time: July 2022 or later

Apply Online

Internship 2022 | Software and algorithm development for industrial tomography data fusion

Interested in image processing, computer vision, or tomography? Looking for an internship that entails a wide variety of tasks, a high autonomy and an opportunity to put your creativity to good use? 

Join our young software engineering team and actively participate in further developing the tools to process the data generated by our in-house tomography systems.This internship will strengthen your knowledge on a variety of software topics and allow you to face new, real-world challenges.

What is it about?

Scientific Visual produces automated systems for the quality control of industrial crystals, such as sapphire, ruby, and silicon carbide, which are used in the semiconductor, watch, and medical industries.In this context, large quantities of high-definition data are collected, in particular in the form of tomographic scans (stacks of 2D images).  The scanned crystals are defined by their shape and the defects they contain. The objective of our tools is to extract and process the information useful to assess the defectiveness of a crystal. It helps to maximize the amount of high-quality LED wafers or cores that can be extracted from it. The company has developed different acquisition methods to maximize the accuracy of the results for different types and sizes of crystals. This project aims to develop and implement new algorithms for merging multiple scans of the same crystal by identifying matching defects and removing imaging noise and artifacts.

Hard skills

• Knowledge in mathematics, image processing and machine learning   

• Experience with optical imaging techniques is a big plus

• Capability to rapidly prototype new ideas and optimize existing code

• Fluent Python programming skills; familiarity with Git is a plus

Soft skills

• Capability to represent the company in front of customers and project partners

 • Excellent team working capabilities while able to work autonomously

 • Previous experience with processing large data

• Fluent English (written and spoken)

• Ability to socialize in French is a plus

Good to have

• German language·      

• Knowledge in optics

Starting time: July 2022 or later

Apply Online

Internship 2022 | Recycling of industrial organic liquids used in inspection systems

Internship / Master project proposal

Are you keen to join a company in high development phase?
Are you interested to in the Recycling?

This internship is a unique opportunity to build your knowledge in industrial organic liquids and occupational safety. This internship can be extended into a Master project.

Description

 

Scientific Visual quality inspection systems use a set of organic liquids for running an automated quality control on industrial crystals. Nowadays, the used liquids are thrown away. Scientific Visual is looking to develop a system for filtering, purification and recycling of these liquids for a second use.
The objective is to :

 

 

  1. Design the purification/recycling process
  2. Find out the necessary chemical components
  3. Build the apparatus (catalyser columns, vacuum drying chambers) to complete the task.

 

The objective of this Internship is to help us to understand how to recycle industrial organic liquid and have guideline for safety procedures .

Required technical knowledge:

  • Chemical or environmental engineering
  • Measurement of liquid properties and knowledge in optics is a plus.

Soft Skills:

  • Ability to engage and represent our company in front major commercial SW providers or University Labs.
  • French (Intermediate) , English (Intermediate)

Starting July 2022 or later.
Apply Online