Senior Engineer, AI Performance, Embedded Systems

Il y a 3 jours

Massy, Île-de-France Jobtailor Temps plein 90 000 € - 130 000 € Contrat
  • Develop and optimize real-time AI perception algorithms on embedded GPUs for autonomous robots and optronic sights.
  • Lead the optimization and deployment of high-performance AI algorithms on embedded GPU platforms.
  • Analyze the AI architectures of Computer Vision solutions and integrate them into operational platforms.
  • Identify, understand, and resolve AI system performance limitations in constrained environments.
  • Collaborate with Data Scientists, AI Performance Engineers, Software teams, and system architects.
  • Diagnose the root causes of complex technical issues and propose practical solutions.
  • Optimize AI models.
  • Perform advanced GPU development.
  • Work on the architecture of real-time pipelines.
  • Serve as the technical subject-matter expert.

Requirements

  • You hold a degree from an engineering school or a PhD in computer science, AI, high-performance computing, or a related field.
  • You have 7 or more years of software development experience.
  • You have significant experience optimizing GPU performance.
  • You also have demonstrated experience deploying AI on embedded or resource-constrained platforms.
  • Development: C++, Linux, multithreaded development, systems programming.
  • GPU computing: advanced CUDA, NVIDIA tools, memory optimization, advanced profiling.
  • Applied AI for Computer Vision.
  • Deployment: TensorRT, ONNX Runtime, FP16, INT8, model optimization.
  • Embedded systems: NVIDIA Jetson-class platforms, real-time constraints, CPU/GPU resource optimization, video pipelines.
  • Due to potential access to information classified as a national defense secret, the successful candidate will be required to undergo a security clearance process.

Core Competencies

Demonstrates expertise in developing and optimizing real-time AI perception algorithms on embedded GPU platforms, with a strong focus on performance optimization and deployment in resource-constrained environments. Proficient in collaborating with cross-functional teams to diagnose and resolve complex technical issues.

Highest-signal resume keywords

  • C++ Development
  • Advanced CUDA
  • GPU Performance Optimization
  • AI Deployment on Embedded Platforms
  • Computer Vision Solutions

Hard Skills

  • Software Development
  • Multithreaded Development
  • Systems Programming
  • AI Model Optimization
  • Real-Time Pipeline Architecture

Soft Skills

  • Collaboration
  • Problem-Solving
  • Technical Leadership

Certifications & Qualifications

  • PhD in Computer Science
  • Security Clearance

Industry Keywords

  • AI Perception Algorithms
  • Embedded GPUs
  • Resource-Constrained Environments
  • Video Pipelines
  • High-Performance Computing

Tools & Technologies

  • NVIDIA Tools
  • TensorRT
  • ONNX Runtime
  • NVIDIA Jetson-Class Platforms