Edge AI Engineer: Multimodal Perception for Robotics

ZYGO; Zonnebeke; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Shape ZYGO's future

Latest AI tech

Learning opportunities

Professional workplace

Real-world impact

No traffic

Job summary

ZYGO in Belgium is seeking an AI Engineer with a strong background in multimodal AI across speech, vision, and language models. You will build and deploy on-edge perception and reasoning models on devices like Jetson to enhance ZYGO's perception and interaction with environments.

The role is outcome-driven and offers a path to become AI lead at ZYGO. You will design, train, and optimize on-device models, fuse camera and microphone signals, and collaborate with robotics and cloud engineers to

Qualifications

• Proven experience with deep learning for perception or multimodal reasoning.
• Hands-on experience deploying models on edge devices (Jetson) and optimizing for GPU inference.
• Proficient in Python and deep learning frameworks ( PyTorch, ONNX, TensorRT, CUDA ).
• Ability to build data pipelines, benchmarks and automated tests.
• Thrives in a fast-moving environment and delivers production-ready systems.

Responsibilities

• Design, train and optimize perception and reasoning models that run on-device with low latency and power use.
• Convert and quantize models for Jetson and build surrounding runtime, evaluation and monitoring.
• Fuse signals from cameras and microphones to improve scene understanding.
• Create pipelines, evaluation suites and simulations translating to real-world performance.
• Collaborate with robotics and cloud engineers to ship features into production.

Skills

multimodal AI

edge deployment

Python

PyTorch

TensorRT

Tools

PyTorch

ONNX

TensorRT

CUDA

Job description

ZYGO in Belgium is seeking an AI Engineer with a strong background in multimodal AI across speech, vision, and language models. You will build and deploy on-edge perception and reasoning models on devices like Jetson to enhance ZYGO's perception and interaction with environments.

The role is outcome-driven and offers a path to become AI lead at ZYGO. You will design, train, and optimize on-device models, fuse camera and microphone signals, and collaborate with robotics and cloud engineers to