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Qualitest acq

Software Engineer - Computer Vision Engineer

Qualitest acq
Switzerland · Full-time · Entry
Zurich, Switzerland (100% On-site)

Responsibilities

  • Our team of Engineers will be responsible for contributing to daily work on building software products and features shipping on the HMDs.
  • Engineers are not expected to design and lead the implementation of complete features; however, a substantial degree of independence and self-drive are required to minimize onboarding and supervision.
  • Example tasks - Debugging and upgrading tools used and/or implemented by the team. Evaluating performance implications (CPU, GPU, memory, thermal impact) of features deployed to HMDs.
  • Developing and/or improving tools for visualizing data collected from the HMDs.
  • Contributing to improved code quality by participating in code reviews, design document reviews, etc, implementing extensive tests, etc.
  • Participating in on-call rotations, mitigating and resolving incidents, writing postmortems.
  • Preferred Skills-Solid engineering skills in the relevant programming languages and operating systems (C++, Python, Linux, Android).

Knowledge In At Least One Of The Following Domains

  • Computer Vision (CV), Virtual/Augmented/Mixed Reality (XR), Computer Graphics (CG), Machine Learning (ML)
  • Experience in a fast-paced technology environment with extensively cross-functional (XFN) work and be able to thrive in ambiguity.
  • Willingness to dive into data related issues, applying manual QA when needed.

Other Desired Skills

  • Experience working with cameras, semantic/instance/panoptic segmentation-Knowledge of stereo depth
  • Proficiency in Python, command line Python scripting, and explorative work with Python notebooks, using modules such as numpy, scipy, matplotlib, etc.
  • Hands-on knowledge of C++, ideally with good familiarity of the recent standards (C++17, C++20) and corresponding standard libraries.
  • Good understanding of advanced template metaprogramming.
  • Good knowledge of C++ testing with libraries such as Googletest.
  • Familiarity with the Buck build tool.
  • Knowledge of CV and relevant libraries such as OpenCV.
  • Knowledge of CG and relevant standards such as OpenGL and their implementations, such as Qt.
  • Practical knowledge of ML, neural networks, and deep learning, with focus on developing and using infrastructure for deploying models in production (ML Engineering, ML Ops).

Key Skills

Ranked by relevance

python c machine learning neural networks deep learning matplotlib opengl linux numpy scipy
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Country Guide

Switzerland

Very high salaries and premium quality of life

Posted
Jan 04, 2026
Type
Full-time
Level
Entry
Location
Zurich
Company
Qualitest acq

Industries

Information Technology & Services

Categories

Engineering Information Technology

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