C++ Software Engineer – Backend and CV

C++ Software Engineer – Backend and CV.

C++ Software Engineer – Backend and CV

Munich

|

€60000 - €80000 per annum

|

Permanent

|

Embedded

We are working with a globally recognized technology innovator specialised in developments of motion capture and computer vision software. They create complete systems for large scale use in sports, medicine, film making and automotive.

With a strong 30 year track record of success, this medium sized comapny operates internationally. They have been at the forefront of 3D motion capture technologies since the 1990's

Now going through a strategic expansion the team are looking for a talented C++ Software Developer to join the team.

TASKS:

-Adaping their current platform in modern C++

-Improve performance of critical data processing systems

-GUI design and implimentation in Qt

-integrating external hardware for data acquisition (Cameras, sensors etc)

-implimenting and optimizing databases for local and big data applications (including ORM tasks)

QUALIFICATIONS:

-University Degree in Computer science, electrical Engineering or Mathematics

-Strong command of C++

-Professional experience of C++ on larger projects is preferred

-Good command of Python

-Experience using Visual Studio or building computer vision applications is advantageous

-experience using CMake or similar

-Cloud native development exposure is preferred (Azure/AWS/GCP)

-Dockerisation is familar to you

A family friendly company, offering flexible working hours with flat heirarchies and international reach.

If you're interested or would like more information, please contact me via linkedin or email.

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

Mae Quinlan

SUBMIT YOUR CV

Name_1(Required)
Max. file size: 512 MB.

UPLOAD CV WITH:

This field is for validation purposes and should be left unchanged.
WOMAN-WITH-TABLET3

MARKET INSIGHTS.

USE OUR ONLINE PLATFORM TO ACCESS ALL THE INSIGHTS THAT YOU NEED...

• Salaries; split by technology and seniority level.
• Time to hire; how long it takes to secure and start a new role, or source and hire talent.
• The average tenure of professionals per tech specialism.
• Gender split per location and tech specialism.
• Fastest growing skills per tech specialism.

This field is for validation purposes and should be left unchanged.