About Innowave Tech
Innowave Tech is a Singapore-headquartered AI company specialising in the semiconductor and advanced manufacturing industry. Our flagship products — ZeroDefect (AI-powered defect detection), Autopilot (drag-and-drop workflow automation), and iWave Insight (LLM-powered analytics) — help leading fabs and manufacturers achieve higher yields, faster cycle times, and smarter decision making.
With offices in Singapore, Malaysia, Wuxi (China), and Dresden (Germany), we work alongside global clients including tier-1 IDMs, foundries, and OSATs. We are growing rapidly across all our locations and are looking for top talent to join our expanding team.
Role Overview
The Forward Deployment Engineer (FDE) is a critical bridge between advanced AI capabilities and real-world industrial deployment. This role works at the intersection of customer needs, domain expertise, and product evolution—ensuring AI solutions deliver measurable outcomes in production environments.
FDEs translate complex manufacturing challenges into deployable AI workflows, enabling scalable, high-impact transformation across factories.
Key Responsibilities
1. Customer-Facing Deployment & Execution
Lead on-site or remote deployment of AI solutions in industrial environments (semiconductor, advanced manufacturing, etc.)
Translate customer requirements into practical system configurations and AI workflows
Drive end-to-end implementation: integration, validation, and optimization
2. Problem Solving & Solution Design
Diagnose complex production and system challenges using data, domain knowledge, and engineering principles
Rapidly find the solutions or communicate the problem through internal system to product or Development team for the problem fix
Ensure solutions are robust, scalable, and aligned with real production constraints
3. Bridge Product & Reality
Act as the feedback loop between customers and product teams
Convert deployment insights into product improvements, new features, and reusable modules
Contribute to building standardized, scalable deployment frameworks
4. Cross-Functional Collaboration
Work closely with AI engineers, product managers, and domain experts
Communicate effectively with customer stakeholders across engineering, operations, and management levels
Required Qualifications
Must be legally eligible to work in Malaysia / Singapore without the need for a work pass or visa sponsorship.
We welcome fresh graduates or junior candidates with 1-2 years of related experience. Intensive short-term training will be provided to help you master our industrial AI workflows.
Technical & Domain Background
Degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields
Strong understanding of industrial systems, manufacturing processes, or equipment data environments
Experience with system integration, data pipelines, or edge/cloud deployment is a strong advantage
Core Capabilities
Strong problem-solving ability in complex, real-world environments
Fast learner with the ability to adapt to new domains and technologies quickly
Hands-on mindset with a bias toward execution and outcome
Communication & Leadership
Good communication skills—able to translate between technical teams and business stakeholders
Comfortable working directly with customers in high-stakes environments
Ability to influence and align cross-functional teams
AI & Data (Preferred)
Exposure to AI/ML concepts, data analytics, or industrial AI applications
Experience with deploying or operationalizing AI models is a plus
Working Conditions
What We Offer
A high-impact role at the intersection of AI and semiconductor manufacturing — one of the world’s most critical industries.
Opportunity to grow with a fast-scaling company with regional presence across Asia and Europe.
Exposure to cutting-edge AI technologies (LLMs, computer vision, agentic automation) without needing to be a deep technical specialist.
Collaborative, engineering-driven culture where your contributions are visible and valued.
Competitive compensation package with performance-based bonuses.
