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Innowave Tech Pte Ltd, headquartered in Singapore, seeks a Forward Deployed Engineer to bridge AI capabilities with production environments. You will deploy AI solutions on-site or remotely, turning customer needs into practical AI workflows and ensuring robust, scalable results across semiconductor and manufacturing settings.
You will collaborate with AI engineers, product managers, and domain experts, translating deployment insights into product feedback and new features while maintaining high
Innowave Tech is a Singapore-headquartered AI company specializing in the semiconductor and advanced manufacturing industry. Our flagship products — Zero Defect , Autopilot and iWave Insight — help leading fabs and manufacturers achieve higher yields, faster cycle times, and smarter decision making.
Our work connects artificial intelligence, software and practical engineering with the realities of the factory floor. From detecting subtle defects to helping equipment respond to changing conditions, we turn specialist knowledge into capabilities that people can use, trust and scale.
We’re looking for people who ask thoughtful questions, care about how things work and take pride in making them better. Join us to tackle demanding problems, bring ideas into real operating environments and help shape how industry works next.
The Forward Deployed 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.
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
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
Must be legally eligible to work in Malaysia or Singaporewithout the need for a work pass or visa sponsorship.
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
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
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
AI & Data (Preferred)
Exposure to AI/ML concepts, data analytics, or industrial AI applications
Experience with deploying or operationalizing AI models is a plus
Hybrid or on-site work depending on business needs.
Ability to travel and support regional project development and deployment.