About this role
Develop and optimize AI models for deployment on edge devices, including Android, embedded platforms, and robotics systems. Support the end-to-end pipeline from data collection to hardware prototyping and system performance testing.
Undergraduate students in Year 2 or 3 pursuing a degree in Computer Science, Data Science, Engineering, or a related field. Must be comfortable working with both software and hardware systems and possess strong analytical and problem-solving skills.
What they're looking for
AI Model OptimizationEdge DeploymentAndroid DeploymentEmbedded SystemsRobotics IntegrationHardware PrototypingSensor IntegrationSoldering
Frequently asked questions
What does a Uni Internship Jan to July 2027 - AI & Edge Deployment Focus at Synapxe do?
Develop and optimize AI models for deployment on edge devices, including Android, embedded platforms, and robotics systems. Support the end-to-end pipeline from data collection to hardware prototyping and system performance testing. Undergraduate students in Year 2 or 3 pursuing a degree in Computer…
What skills does this Uni Internship Jan to July 2027 - AI & Edge Deployment Focus role need?
Key skills for this role include AI Model Optimization, Edge Deployment, Android Deployment, Embedded Systems, Robotics Integration, Hardware Prototyping.
How much does a Uni Internship Jan to July 2027 - AI & Edge Deployment Focus at Synapxe pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Uni Internship Jan to July 2027 - AI & Edge Deployment Focus role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Uni Internship Jan to July 2027 - AI & Edge Deployment Focus role?
You can apply directly on Synapxe's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.