SW & FW Developer / Physicist (EP-ATL-TRG-2026-123-GRAP) Full-time
The Global Hardware Trigger is part of the upgrade to the Trigger and Data Acquisition that ATLAS plans to deploy for the High-Luminosity LHC programme (HL-LHC). It is a custom hardware, real‑time data processing and filtering system, currently under construction, that uses fine‑granularity detector information and will employ advanced 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 (ML) inference. You will join the CERN Data Processing team within the ATLAS Trigger Section as part of the Next Generation Trigger programme.
Your responsibilities
Develop and maintain pipelines to streamline the end‑to‑end process of developing, optimising, and implementing ML algorithms into the Global firmware framework, and support the ATLAS Global community in using these pipelines.
Contribute to Global hardware integration activities at CERN.
Explore, develop, and optimise novel ML algorithms for Global, and play a leading role in developing the trigger menu and strategy for the start of the HL‑LHC programme.
Explore, develop, and optimise concepts of anomaly detection, trigger‑level analysis, and data scouting in ATLAS using the Global system.
Explore the potential and applicability of novel industry technologies (e.g., AMD AI Engines) to enhance the reach of the ATLAS Global system.
This role includes team supervision responsibilities.
Strong track record
in developing novel ML algorithms, especially in the context of particle physics experiments.
Strong background
in computational statistics.
Good level of knowledge of digital electronics for data acquisition.
Skills:
Modern C++ and Python programming techniques.
Writing and testing algorithms for data processing and filtering.
Knowledge of hardware description languages (HDL) or high‑level synthesis (HLS) tools and concepts is highly desirable.
Spoken and written English, with a commitment to learn French.
Eligibility criteria:
You have a professional background in PhD in Physics, Computer Science (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.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Fully Onsite
This position involves:
Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Field of work: Applied Physics
Benchmark job: 200140 - Applied Physicist
A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant and travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 36 months.
On-the-job and formal training including language classes.
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The Global Hardware Trigger is part of the upgrade to the Trigger and Data Acquisition that ATLAS plans to deploy for the High-Luminosity LHC programme (HL-LHC). It is a custom hardware, real‑time data processing and filtering system, currently under construction, that uses fine‑granularity detector information and will employ advanced 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 (ML) inference. You will join the CERN Data Processing team within the ATLAS Trigger Section as part of the Next Generation Trigger programme.
Your responsibilities
Develop and maintain pipelines to streamline the end‑to‑end process of developing, optimising, and implementing ML algorithms into the Global firmware framework, and support the ATLAS Global community in using these pipelines.
Contribute to Global hardware integration activities at CERN.
Explore, develop, and optimise novel ML algorithms for Global, and play a leading role in developing the trigger menu and strategy for the start of the HL‑LHC programme.
Explore, develop, and optimise concepts of anomaly detection, trigger‑level analysis, and data scouting in ATLAS using the Global system.
Explore the potential and applicability of novel industry technologies (e.g., AMD AI Engines) to enhance the reach of the ATLAS Global system.
This role includes team supervision responsibilities.
Strong track record
in developing novel ML algorithms, especially in the context of particle physics experiments.
Strong background
in computational statistics.
Good level of knowledge of digital electronics for data acquisition.
Skills:
Modern C++ and Python programming techniques.
Writing and testing algorithms for data processing and filtering.
Knowledge of hardware description languages (HDL) or high‑level synthesis (HLS) tools and concepts is highly desirable.
Spoken and written English, with a commitment to learn French.
Eligibility criteria:
You have a professional background in PhD in Physics, Computer Science (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.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Fully Onsite
This position involves:
Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Field of work: Applied Physics
Benchmark job: 200140 - Applied Physicist
A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant and travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 36 months.
On-the-job and formal training including language classes.
#J-18808-Ljbffr
