Senior Engineer, AI Performance, Embedded Systems
Il y a 3 jours
Massy, Île-de-France
Jobtailor
Temps plein
90 000 € - 130 000 € Contrat
Gratuit avec email ou Google
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Gratuit avec email ou Google
- 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