SATCOM Software Engineer – AI & System Deployments

ST ENGINEERING ADVANCED NETWORKS & SENSORS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits

On-site role in Ang Mo Kio

Career development opportunities

Job summary

ST Engineering Advanced Networks & Sensors in Singapore is seeking passionate engineers to join a team delivering SATCOM solutions, pre-sales support, system integration, software development, testing and project deployments.

You will collaborate with customers and internal teams to design end-to-end solutions that meet operational and business needs, and contribute to AI-enabled deployments and governance practices.

Qualifications

• Background in electrical engineering, computer science or computer engineering.
• Experience with software deployment and repository tools.
• Knowledge of digital communications and networking protocols (SNMP, TCP/IP, UDP).
• Familiar with .NET, scripting languages and AI basics.

Responsibilities

• Test, deploy, and maintain software and patch installations with documentation.
• Prepare system and database backup and restore procedures.
• Participate in project meetings, SAT/ UAT, and on-site deployments.
• Collaborate with vendors and users to troubleshoot deployment issues remotely.
• Support AI-enabled applications and AI model deployments in test and production.
• Prepare deployment guides and operational procedures for traditional and AI-based systems.
• Ensure compliance with security policies and AI governance best practices.

Skills

EE/CS/CE background

Software deployment tools

Digital communications

Microsoft.NET

PowerShell

Python

AI/ML basics

Tools

PowerShell

Python

Bash

Microsoft.NET

Job description

ST Engineering Advanced Networks & Sensors in Singapore is seeking passionate engineers to join a team delivering SATCOM solutions, pre-sales support, system integration, software development, testing and project deployments.

You will collaborate with customers and internal teams to design end-to-end solutions that meet operational and business needs, and contribute to AI-enabled deployments and governance practices.