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Engineer in Deep Learning Hardware Implementation

  • On-site
    • Brest, Bretagne, France
  • Data analytics et Intelligence artificielle

Job description

Internationally recognized generalist engineering school of the IMT (Institut Mines-Télécom), a leading French engineering school (Technological University), IMT Atlantique aims to support transitions, train responsible engineers, and use scientific excellence to serve teaching, research, and innovation.

As part of the BRAIN project, focused on cutting-edge innovation at the intersection of deep learning, signal processing, and hardware implementation, with a strong emphasis on “Thrifty AI” (energy-efficient AI, low-data-rate systems) and embedded AI, we are recruiting a Research and Development Engineer in Hardware Implementation for Deep Learning within our Mathematical and Electrical Engineering (MEE) department.

In collaboration with the project team and under the supervision of Mathieu LEONARDON and Matthieu ARZEL, you will design new accelerators and co-design the hardware algorithm. You will benchmark the state of the art. You will ensure scientific dissemination.

Read the detailed job description

Job requirements

Minimum education and/or experience required:

Master's degree (M2) or equivalent. If the applicant has advanced skills on the subject, acquired during a doctorate or previous professional experience, the ambitions of the position and the remuneration will be adapted

 

Essential skills, knowledge and experience:

Technical Skills (Hardware)

o    Proficiency in Verilog/SystemVerilog/VHDL for RTL design.

o    Expertise in High-Level Synthesis (HLS) tools (e.g., Vitis HLS, Catapult).

o    Experience with FPGA (Vivado/Quartus) or ASIC digital design flows.

o    Strong knowledge of computer architecture, memory hierarchies, and parallel processing.

Domain Knowledge (Deep Learning)

o    Proficiency in Python and PyTorch/TensorFlow for model analysis.

o    Knowledge of model quantization, pruning, and hardware-aware optimizations.

o    Understanding of standard NN architectures (CNNs, Transformers) and their computational characteristics.

Research & Methodology

o    Ability to perform rigorous benchmarking and PPA (Power, Performance, Area) analysis.

o    Experience with technical writing (LaTeX) and data visualization for scientific publications.

o    Strong analytical skills to digest state-of-the-art literature and identify research gaps.

In addition to these technical skills, a good command of English is required, both spoken and written, for analyzing scientific documents and collaborating in an international environment.

 

Abilities and skills:

  • Good interpersonal skills with a variety of audiences (students, technicians, engineers, assistants, researchers) and ability to work as part of a group.

  • Autonomy, rigor, curiosity.

  • Agility, responsiveness and adaptability.

  • Team spirit, collaboration and creativity.

  • Ability to listen, dialogue and present arguments.

  • Open-mindedness and ability to stand back.

  • Plan, organize and manage business priorities.

  • Position your activity in a context.

APPLICATION DOCUMENT

  • CV

  • Cover letter

  • Recommendation letter

WHY JOIN US:

👉 Exceptional working environment

👉 Stimulating innovation ecosystem (start-ups, students, research, companies)

👉 Collaborations with renowned research organisations

THE PLUS :

  • Institutional catering on site

  • Leisure/sport activities

  • Payment for public transport

  • Sustainable mobility package (for car-pooling or cycling)

  • Family supplement

  • Wide range of social benefits

  • Possibility of partial teleworking

  • Many days of


For further information :

Application deadline : 10/12/2025

Start of the contract : February 2026

Recruitment interview : as applications are received


Legal Notice  :

  • Type and duration of contract : fixed-term (12 months) public-law contract or secondment on a renewable contract for civil servants

  • Location of the position :

    • IMT Atlantique campus de Brest - 655 avenue du Technopôle, 29280 Plouzané

  • For internal use :

    Job-category : II R

    Category and profession of persons eligible to apply:

    • II : D, E, F, G, H, I, R

    • III : J1, J2, K, L, M

  • Positions offered for recruitment are open to all, with special arrangements available on request for candidates with disabilities

  • Position open to civil servants and/or persons on contract*

  • All applications may be subject to an administrative enquiry


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