Lead GPU DSP Engineer for Radar Backends

Intelligent Employment

Paris

Sur place

EUR 60 000 - 80 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Opportunity to work on real-world projects
Collaborative multidisciplinary team

Résumé du poste

Intelligent Employment is seeking a Lead Software Engineer based in Paris, France, to drive the development of cutting-edge radar systems. This role involves creating backend software architecture, focusing on GPU signal processing, and implementing advanced radar algorithms. Candidates should have a Master's degree in a related field, a strong background in DSP, and proficiency in programming languages like CUDA and C++.

Join a team that works on vital technologies aimed at enhancing drone detection capabilities, where your contributions will significantly impact real-world applications.

Qualifications

  • Strong background in GPU based digital signal processing algorithms.
  • Proficient with CUDA, C++, and modern programming environments.
  • Fluent in French and proficient in professional and technical English.

Responsabilités

  • Own and develop the product backend software architecture.
  • Take advanced radar algorithms from prototypes to production-ready software.
  • Drive CI/CD best practices and champion TDD methodologies.

Connaissances

GPU based digital signal processing
C++
CUDA
Python
Rust

Formation

Master’s degree in Computer Science or related field

Outils

DevOps practices

Description du poste

Intelligent Employment is seeking a Lead Software Engineer based in Paris, France, to drive the development of cutting-edge radar systems. This role involves creating backend software architecture, focusing on GPU signal processing, and implementing advanced radar algorithms. Candidates should have a Master's degree in a related field, a strong background in DSP, and proficiency in programming languages like CUDA and C++.

Join a team that works on vital technologies aimed at enhancing drone detection capabilities, where your contributions will significantly impact real-world applications.

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