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Software Engineer - Computer Vision Engineer

Job in Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listing for: Qualitest
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    Software Engineer, Python
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

Join to apply for the Software Engineer - Computer Vision Engineer role at Qualitest

Responsibilities
  • Contribute to daily work on building software products and features shipping on the HMDs.
  • Operate with a substantial degree of independence and self-drive to minimize onboarding and supervision.
  • Debug, upgrade tools and evaluate performance implications (CPU, GPU, memory, thermal impact) of features deployed to HMDs.
  • Develop and/or improve tools for visualizing data collected from the HMDs.
  • Contribute to improved code quality by participating in code reviews, design document reviews, implementing extensive tests, etc.
  • Participate in on‑call rotations, mitigating and resolving incidents, writing postmortems.
Preferred Skills
  • Solid engineering skills in C++, Python, Linux and 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 extensive cross‑functional (XFN) work and ability 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 Num Py, Sci Py, Matplotlib, etc.
  • Hands‑on knowledge of C++, preferably familiar with C++17, C++20 and corresponding standard libraries.
  • Good understanding of advanced template metaprogramming.
  • Good knowledge of C++ testing with libraries such as Google Test.
  • 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 implementations, such as Qt.
  • Practical knowledge of ML, neural networks, and deep learning, focusing on developing and using infrastructure for deploying models in production (ML Engineering, ML Ops).
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

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