Software developer for L0 Global Trigger (EP-ADT-2024-196-GRAP)

Geneva, Switzerland

CERN

CERN, the European Organization for Nuclear Research, is one of the world’s largest and most respected centres for scientific research. Its business is fundamental physics, finding out what the Universe is made of and how it works.

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Job Description

Your responsibilities

The Global Event Processor (GEP) is part of the ATLAS Trigger and Data Acquisition (TDAQ) ATLAS plans to deploy a hard real-time data filtering and processing system that uses fine granularity full event information to construct high resolution pattern recognition algorithms. These algorithms will be implemented on state-of-the-art field programmable gate array (FPGA) systems which employ novel system-on-chip architectures capable of high-speed machine learning inference. This position is part of the Next Generation Trigger program (https://cern.ch/nextgen-proposal).

The selected candidate will be part of the CERN Data Processing team. They will take an active role in developing algorithms and infrastructure for delivering FPGA-based pipelines that enable calorimeter-based, muon spectrometer-based, and global event reconstruction algorithms utilizing all of the available information on the GEP system.

Your profile

Skills

  • Experience with modern C++ programming techniques.
  • Python.
  • Experience with writing and testing algorithms for data processing and filtering purposes.
  • Knowledge of hardware description language (HDL) or high-level synthesis (HLS) tools and concepts is highly desirable.

Eligibility criteria:

  • You are a national of a CERN Member or Associate Member State. A limited number of positions are also available to candidates from Non-Member States. 
  • You have a professional background in (Applied) physics, software engineering (or a related field) and have either:
    • a Master's degree with 2 to 6 years of post-graduation professional experience;
    • or a PhD with no more than 3 years of post-graduation professional experience.
  • You have never had a CERN fellow or graduate contract before.

Additional Information

Job closing date: 11.12.2024 at 23:59 hrs CET.

Contract duration: 24 months, with a possible extension up to 36 months maximum.

Working hours: 40 hours per week

Target start date: 01-April-2025

Job reference: EP-ADT-2024-196-GRAP

Field of work: Applied Physics

What we offer

  • A monthly stipend ranging between 6212 and 6828 Swiss Francs per month (net of tax).
  • Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
  • Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
  • 30 days of paid leave per year.
  • On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

About us

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.

Begin your CERN Quest. Take Part!

 

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Engineering FPGA Machine Learning PhD Physics Pipelines Python Research Testing

Perks/benefits: Home office stipend

Region: Europe
Country: Switzerland

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