QA Engineer Scientific Computing (f/m/x)

☞ ZEISS Group

Visualizza: 108

Giorno di aggiornamento: 04-11-2024

Località: Jena Thuringia

Categoria: Tecnologie dell’informazione

Industria:

Loading ...

Contenuto del lavoro

Working for tomorrow today.
Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.
Semiconductor lithography drives today’s digitalization and inherently relies on defect-free photomasks – the blue print for every microchip. Our devices analyze and manipulate such photomasks by processing huge amounts of data with state-of-the-art algorithms. Become part of the global algorithms team at SMS and shape the future of chip manufacturing!
Join #TeamZeiss in the Semiconductor Mask Solutions (SMS) business unit.
Your Role
As part of an agile team you will work side-by-side with machine learning scientists, software architects, high-performance computing engineers and domain experts to take the quality of our algorithmic solutions to the next level. Your task is to design a test strategy, manage the CI/CD pipelines and enforce quality requirements for cutting edge simulation, image processing and ML software packages. Your innovation-driven mindset makes you follow the latest technical developments, and you embrace the challenge of taking ownership for the quality of scientific computing in our organization.
Your Profile
  • Intensive experience with practical software testing for high performance computing and QA tools (Git, Azure DevOps, Docker, Kubernetes, Maven, Jenkins)
  • Excellent practical programming skills with scientific Python or C++/C#
  • University level degree in physics, computer science, engineering, mathematics or similar
  • Ideally proven software architecture skills and FOSS contributions
  • Good knowledge in image processing algorithms and machine learning
  • Passion for high code quality and supportive team player
  • Very good German und English skills
Your ZEISS Recruiting Team:
Kathrin Siegel
Loading ...
Loading ...

Scadenza: 04-12-2024

Clicca per candidarti per un candidato gratuito

Applicare

Segnala lavoro
Loading ...

LAVORI SIMILI

Loading ...
Loading ...