Edge AI Radar & Autonomous Systems Engineer

Synectics Inc.; Florida; On-site; USD 90,000 - 150,000; Full time

Job summary

Synectics Inc. is seeking a skilled AI/ML software engineer to develop advanced analytics solutions in defense and autonomous systems. You will build ML pipelines, optimize models, and deploy real-time AI on edge hardware using Python and/or C++.

You'll work with radar data, computer vision, and sensor integration on platforms like NVIDIA Jetson and Raspberry Pi, implementing APIs, and collaborating with cross-functional teams to deliver robust AI capabilities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
• Hands-on experience with AI/ML and deep learning.
• Strong Python and/or C++ programming skills.
• Experience with PyTorch, TensorFlow, Scikit-learn, or similar frameworks.
• Experience developing and deploying ML models.
• Strong understanding of data preprocessing, model training, evaluation, and optimization.
• Experience with Linux and Git.

Responsibilities

• Develop AI/ML software using Python and/or C++.
• Build ML pipelines from data preparation through model development, testing, optimization, and deployment.
• Work with radar data, computer vision, sensor processing, and autonomous systems.
• Develop AI solutions for counter-UAS / anti-drone applications.
• Deploy and optimize models for real-time and edge AI.
• Integrate AI models with sensors, embedded hardware, robotics, and engineering systems.
• Work with platforms such as NVIDIA Jetson and Raspberry Pi.
• Develop APIs/services and troubleshoot AI software performance.

Skills

Python

C++

ML

PyTorch

TensorFlow

Scikit-learn

Linux

Git

Radar data

OpenCV

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Docker

REST APIs

AWS

MLOps

NVIDIA Jetson

Job description

Synectics Inc. is seeking a skilled AI/ML software engineer to develop advanced analytics solutions in defense and autonomous systems. You will build ML pipelines, optimize models, and deploy real-time AI on edge hardware using Python and/or C++.

You'll work with radar data, computer vision, and sensor integration on platforms like NVIDIA Jetson and Raspberry Pi, implementing APIs, and collaborating with cross-functional teams to deliver robust AI capabilities.