Senior Automation Software Developer

Innowave Tech Pte Ltd; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Innowave Tech Singapore hires a hands-on software engineer to design, develop, and deploy intelligent automation systems for semiconductor fabs. You’ll own end-to-end architecture and delivery, collaborating with data scientists and CV engineers to integrate advanced analytics and control logic.

We expect 3+ years of Python experience, strong problem‑solving skills, and a track record of building modular, scalable software.

Qualifications

• Deep thinker and problem solver with ability to handle uncertainty.
• Minimum 3 years of hands-on Python development.

Responsibilities

• Break down ambiguous manufacturing problems and propose multiple technical approaches.
• Architect modular, scalable solutions for evolving shop-floor requirements.
• Interface with data scientists and CV engineers to integrate analytics or control logic.
• Develop and maintain clean, well-documented code with OOP and design patterns.
• Containerize with Docker and collaborate on Git-based releases.
• Create testing and simulation environments to validate automation logic.

Skills

Python

Problem solving

Architectural thinking

Collaboration

Data processing

Computer vision

Education

Bachelor's degree in Computer Science/Software Engineering/Information Technology or related fields

Tools

Git

Docker

RPA tools

Job description

About Innowave Tech Singapore

We build AI-driven automation software for semiconductor and advanced-manufacturing industries. Our strength lies in deep industrial domain expertise combined with cutting‑edge AI and software engineering to solve complex factory problems.

Your Mission

You’re not here to just write code—you’re here to think deeply, attack challenges from all angles, and deliver elegant, high‑impact solutions using any technology necessary. You’ll own end‑to‑end design, development, and deployment of intelligent automation systems that move the needle in semiconductor fabs.

What You’ll Do

Deep Problem Solving & Architecture

• Proactively break down ambiguous manufacturing problems and propose multiple technical approaches.
• Architect modular, scalable solutions that can adapt to evolving shop‑floor requirements.
• Keep algorithmic considerations in mind and collaborate closely with data scientists and computer‑vision engineers to integrate advanced analytics or control logic as needed.

Core Development

• Mastery in Python (3.x), leveraging frameworks/tech like asyncio, multithreading, and functional programming.
• Build clean, well‑documented code with strong OOP and design‑pattern best practices.

System Integration & Deployment

• Interface with industrial equipment (via REST, Websocket, MQTT or custom protocols).
• Containerize with Docker; collaborate on Git for reliable releases.

AI & Automation Tools

• (Optionally) Integrate or fine‑tune LLMs and agentic AI agents to automate complex decision workflows.
• Develop retrieval‑augmented systems, effective prompt strategies, or rule‑based fallbacks as needed.

Quality & Testing

• Create exhaustive unit/integration tests and simulation environments to validate automation logic.
• Troubleshoot production issues with clear root‑cause analyses and corrective solutions.

What We’re Looking For

Must‑Have

1. Deep Thinker & Problem Solver – You thrive in uncertainty, ask the tough questions, and drive solutions through to completion.
2. Python & Tech Stack Mastery – At least 3 years professional experience in Python, plus familiarity with related ecosystems (e.g. Git, Docker, RPA tools).
3. Collaborative Analytical Mindset – You understand the basics of data processing and computer vision workflows, and can partner effectively with data‑science or CV teams to bring algorithmic components into production.

Nice‑to‑Have

1. Hands‑on experience in semiconductor or industrial automation environments.
2. Knowledge of virtualization/KVM, RPA frameworks, or real‑time control systems.
3. Exposure to AI/ML frameworks (TensorFlow, PyTorch) or LLM fine‑tuning.
4. Background in regulated environments.

Education and Background Requirements

• At least Bachelor’s degree Computer Scienc, Software Engineering, Information Technology or any related fields.
• Minimum 3 years of hands‑on experience in software development, primarily using Python.

Why You’ll Love Working Here

• High-Impact Projects: Tackle real factory challenges that directly improve yield and throughput.
• Autonomy & Ownership: You call the shots on technology choices—no micromanagement.
• Collaborative Culture: Work alongside AI researchers, automation engineers, and fab experts.
• Growth & Leadership: Clear pathways from individual contributor to technical lead or architect roles.

Ready to Transform the Future?

Join us to lead innovation in automation and shape the future of smart manufacturing! We look forward to welcoming individuals who are passionate, proactive, and ready to make a difference.