Forward Deployed Engineer

About Hiverlab

Founded in 2015, Hiverlab is at the forefront of operational excellence through cutting-edge digital twin technology. We specialize in transforming complex physical systems into intelligent, dynamic digital models. By leveraging comprehensive data capture, sophisticated analytics, and realistic simulation, we empower organizations to unlock unprecedented performance potential and clarity across their operations. Our integrated hardware and software ecosystems enable businesses worldwide to optimize their facilities and processes with unparalleled insight. From our strategic bases in four countries, we proudly serve a global network of hundreds of enterprise customers across more than 20 international markets. For more information about our innovative solutions, please visit: www.hiverlab.com.

The Opportunity: Forward Deployed Engineer

We are seeking a highly motivated and curious engineer to join our Singapore team. This is a critical, client-facing role — but more than that, it's for someone who genuinely cares about understanding how the tech world works, beyond just their specialty. If you read broadly, follow the AI and IoT landscape, and have opinions about how physical systems should be built, monitored, and improved — we want to hear from you.

Who You Are

You're an engineer with 3+ years of hands-on experience, but what sets you apart is your breadth. You actively follow tech trends, you read and explore beyond your job description, and you have a working understanding of AI and IoT — not just as buzzwords, but as real tools that solve physical-world problems. You know that the best solutions don't live in one domain. You're curious about automation, sensors, edge computing, LLMs, real-time data pipelines, and how they all fit together in a live production environment. You update your mental models constantly — through reading, building, and experimenting. You communicate clearly because you've learned to translate between what a client needs and what the system can do.

What You'll Do: Key Responsibilities

As a Forward Deployed Engineer at Hiverlab, you'll bridge the gap between our technology and enterprise clients real-world operations:

• Deep Customer Embedding — Work side-by-side with client teams. Understand their constraints, data, and operational challenges. Become a trusted technical advisor who speaks their language.
• System Design & Implementation — Design and build full-stack AI systems, custom data pipelines, and API integrations. Turn AI models into production-ready applications that deliver measurable outcomes.
• AI Deployment & Optimization — Ensure AI agents work flawlessly in the field. Troubleshoot, refine, and tune models to meet specific client requirements and performance benchmarks.
• Technical Troubleshooting — Be the last line of defense for complex, high-stakes production issues. Solve problems that nobody else has figured out yet.
• Feedback Loop Acceleration — Collect field insights and technical challenges from customer implementations. Feed them back to our product and engineering teams to keep improving.
• Cross-Functional Leadership — Bridge software engineering, data science, and customer consulting. Align technical solutions with business goals through clear communication and genuine domain understanding.

Common Qualifications

• Strong proficiency in Python, Java, JavaScript, or similar languages
• Experience with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines
• Solid understanding of AI/ML frameworks and data infrastructure
• Must-have: Active curiosity about AI, IoT, and the broader technology landscape — demonstrated through reading, side projects, or continuous learning
• Must-have: Comfort discussing physical systems — sensors, automation, digital twins, or related domains

Preferred Skills(aligned with our digital twin focus):

• IoT — experience with sensor integration, edge devices, real-time data acquisition from physical systems
• Computer Vision — familiarity with image processing, object detection, or spatial analysis pipelines
• ROS (Robot Operating System) — hands-on experience with robotics middleware, simulation environments, or autonomous systems
• 3D Technology — working knowledge of 3D modeling, point clouds, Unity/Unreal, or 3D visualization tools
• Experience with digital twin platforms or IoT integrations is a significant plus