Engineering Leadership Program (ELP) (Full-Time)

Tacniq; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

We seek technically versatile builders who can translate customer feedback into real-world improvements while working across hardware, firmware, AI, and go-to-market activities in a fast-moving environment. The role emphasizes ownership and practical problem-solving at the new hardware/AI frontier.

Qualifications

• Degree in Engineering or related discipline.
• 0–5 years in a technical, product, or customer-facing engineering role.
• Hands-on hardware troubleshooting and prototype building.
• Strong communication, able to translate between customers and engineers.
• Willingness to travel; cross-functional work in a fast-moving environment.
• We value initiative and quick learning.

Responsibilities

• Lead application engineering and customer deployments.
• Deploy, configure, and support devices at customer sites.
• Troubleshoot hardware, firmware, BLE, and connectivity issues.
• Train users and act as the main technical contact during trials.
• Build prototypes and demos for customers and partners.
• Translate field feedback into product and engineering improvements.
• Support production, pre-sales, and technical partnerships where needed.
• Collaborate across lab, production, and business discussions to drive outcomes.

Skills

Communication

Hardware debugging

Prototype building

Customer-facing

Technical curiosity

Education

Engineering degree

Job description

Engineering Leadership Program (ELP) (Full-Time)

[This role is based at our Singapore headquarters; overseas applicants are welcome but must work on-site.]

TacnIQ.ai is bridging AI and the physical world, building the foundation model for physical interaction, starting with tactile. We're creating a simple platform for engineers to build physical AI with any sensor, across wearables, robotics, and simulation. Our wearable data collection node is already live across five industries, logistics, construction, hospitality, e-commerce, and healthcare, feeding a pipeline that's turning raw sensor data into the foundation model nobody else has built.

This is a rare shot to work at the ground floor of a new category, on hardware and AI, on a problem that's genuinely unsolved, with a team that already has real-world traction to prove it.

Role Overview.

Maybe you are an engineer who enjoys customer conversations as much as circuit debugging. A hands-on builder who wants to understand not only how products work, but how they are built, deployed, sold, and improved.

Or perhaps you have never fit neatly into a conventional engineering role.

ELP is designed for technical generalists who want broad exposure and real ownership. You will work across the lab, production, customer sites, and business discussions, solving real problems with real products.

You will begin by leading application engineering and customer deployments. Over time, you will gain exposure to product development, production, partnerships, business development, and strategy, with the goal of transitioning into a broader leadership role within 1–2 years.

Key Responsibilities

You will work across engineering, customers, and business operations to help turn prototypes into reliable products.

Deploy, configure, and support devices at customer sites.

Troubleshoot hardware, firmware, BLE, and connectivity issues.

Train users and act as the main technical contact during trials.

Build prototypes and demos for customers and partners.

Translate field feedback into product and engineering improvements.

Support production, pre-sales, and technical partnerships where needed.

You may help build a device, deploy it, troubleshoot it in the field, and improve the next version. That feedback loop is central to the program.

Requirements

You may be a strong fit if you have:

A Degree in Engineering or a related discipline.

0–5 years of experience in a technical, product, or customer-facing engineering role.

Hands-on experience troubleshooting hardware and building simple prototypes.

Strong communication skills and the ability to translate between customers and engineers.

A willingness to travel and work across different functions in a fast-moving environment.

You do not need to meet every requirement. We value initiative, technical curiosity, and the ability to learn quickly.

Ideal Candidate

Builders. You test ideas, build quickly, and learn from results.

Quick and curious. You learn quickly and take on unfamiliar problems.

Technically versatile. You are comfortable moving between hardware, firmware, prototypes, customer feedback, and demonstrations.

Customer translators. You can turn technical issues into clear explanations and customer needs into engineering requirements.

Owners. You stay involved until problems are properly resolved.

Future leaders. You want to understand how engineering decisions affect products, customers, operations, and the wider business.

We care less about the conventional path you followed and more about how quickly you learn, how much ownership you take, and what you can grow into.

Build the category, not just join it. We're building the foundation model for physical interaction, starting with tactile, across wearables, robotics, and simulation.

Real traction, not just a vision. Already live across five industries: logistics, construction, hospitality, e-commerce, and healthcare.

Real ownership. Work across hardware, firmware, AI, and go-to-market with a clear path to leadership for those who deliver.

Lean, flat, and human. Flexible by design, transparent by default, genuinely invested in your wellbeing and anyone can make a difference.

TacnIQ.ai welcomes applicants from different educational, professional, and personal backgrounds.

If the role interests you but your experience does not match every requirement, we still encourage you to apply. What matters most is your ability to learn, build, communicate, and take ownership.