Senior Engineer, AI Performance, Embedded Systems

Jobtailor; Massy; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Jobtailor is seeking a senior AI/GPU engineer to drive real-time perception algorithms on embedded GPUs for autonomous systems. You will optimize, deploy, and integrate AI components within constrained environments, collaborating with data scientists, software teams, and architects.

A PhD or engineering degree and strong CUDA/GPU expertise are required, along with a security clearance. You'll lead architecture efforts for real-time video pipelines, and act as a technical SME for embedded AI on

Qualifications

• Degree from an engineering school or a PhD in computer science, AI, high-performance computing, or a related field.
• 7+ years of software development experience.
• Significant experience optimizing GPU performance.
• Experience deploying AI on embedded/resource-constrained platforms.
• Development: C++, Linux, multithreaded development, systems programming.
• GPU computing: advanced CUDA, NVIDIA tools, memory optimization, 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.
• Security clearance is required.

Responsabilités

• 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.

Connaissances

C++ Development

Advanced CUDA

GPU Performance Optimization

AI Deployment on Embedded Platforms

Computer Vision Solutions

Multithreaded Development

Systems Programming

Real-Time Pipeline Architecture

Technical Leadership

Problem-Solving

Formation

Engineering degree or PhD in Computer Science/AI/HPC

PhD in Computer Science

Outils

NVIDIA Tools

TensorRT

ONNX Runtime

NVIDIA Jetson-Class Platforms

Description du poste

• 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