About CynLr

Just like a baby’s brain, CynLr Visual Intelligence stack makes Robots to instinctively see & pick any object under any ambience, without any training. (a demo video link).

Today, a robot that can fit a screw into a nut without slipping a thread, doesn’t exist. Imagine what it would take for a robot to assemble a Smartphone or a car by putting together 1000s of parts with varied shapes and weights, all in random orientations. Thus, factories become complex, needing heavy customization of their environment.

CynLr-enabled visual robots

*intuitively learn to handle even unknown objects, on-the-fly,*

eliminating the need for rigid fixtures, pre-training, or environment customization. This enables an universal alternative to custom automation thus simplifying factory lines into

*modular LEGO-like micro-factories*

that can be rapidly reconfigured as products change.

At the core of CynLr lies a fundamentally new approach to machine vision. Unlike conventional vision systems that rely on image recognition and heuristics, CynLr’ s Vision and ML stacks are

*deeply inspired by neuroscience,*

modelling how biological vision understands shape, geometry, and interaction rather than appearance alone. To support this, CynLr builds its hardware, sensors, compute pipelines, and learning stacks from scratch, tightly coupling perception, decision-making, and action.

This integration allows CynLr to operate in conditions that defeat traditional automation: variable lighting, cluttered environments, unknown objects, and high precision manipulation, unlocking automation use cases that have remained unsolved for decades. By rethinking vision as an intelligent, adaptive sense rather than a static tool, CynLr is redefining how robots perceive, reason, and interact with the physical world.

About The Role

Mechanical Design at CynLr is not about detailing parts after decisions are made; it

defines what the product can do

.

You will work on

end-to-end mechanical product design

, where

mechanisms, motion, sensing, thermal behaviour, packaging, and manufacturability

come together as a single system. The work begins with

deep problem understanding

, translating real-world challenges into

physical and mathematical models

that guide design, experimentation, and validation.

This role sits at the intersection of

first-principles engineering and hands-on hardware reality

. You will take ownership across the full lifecycle from concept and system architecture to prototyping, testing, manufacturing, and deployment, ensuring ideas survive contact with hardware, production constraints, and real users.

The goal is not demos or one-off prototypes, but

robust, scalable, serviceable products

that work reliably in real environments.

What You Will Do

• Design

complete mechanical systems

, including

Robotic arms, grippers, and motion assemblies, Vision systems

(optics, enclosures, calibration structures),

Sensor integrations and protection

• Full product enclosures and packaging
• Own

product architecture, interfaces, and physical intelligence

• Design for

modularity, scalability, manufacturability, serviceability, and replaceability

• Use

simulation and physical modelling

as thinking tools to guide design decisions

• Work closely with

electronics, algorithms, manufacturing, and system integration teams

• Design

tooling, jigs, fixtures, and test infrastructure

• Support

manufacturing scale-up

, cost optimisation, and supply-chain-aware design

• Contribute to

customer-facing applications and deployment-ready solutions

What Are We Looking For

We don’t expect universal expertise. We are looking for engineers with

4+ years of experience

,

deep strength in at least one real mechanical domain

, and enough system-level understanding to design responsibly across others.

Core Strengths

• Strong grounding in

mechanical fundamentals and physical intuition

Deep expertise in one or more of:

• Mechanism and machine design
• Robotics and motion systems
• Thermal and structural design
• Manufacturing, DFM/DFA, and production engineering
• Simulation and validation

Mindset

• Comfort working with

ambiguity and evolving requirements

• Systems thinking over isolated part optimization
• Strong bias toward

verification, validation, and repeatability

• Willingness to learn, unlearn, and rethink assumptions

Tools

• Proficiency with

CAD and mechanical design tools

(Fusion 360 preferred)

• Familiarity with simulation, analysis, and validation tools
• Exposure to motors, sensors, and basic electronics is a plus

*Tool choice matters far less than your ability to reason from first principles.*

Team Structure & Growth

You’ll be part of a

highly cross-functional hardware organisation

, working closely with

algorithms, software, electronics, manufacturing, and applications teams

. While you’ll own a primary mechanical area, collaboration across domains is expected.

As CynLr grows, so does the opportunity to

specialise deeply

, lead subsystems, build teams, or expand into

system architecture, manufacturing, or customer solutions

.

Why This Role Matters

Object manipulation in robotics remains unsolved because

conventional mechanisms and assumptions don’t work

. Here, you’ll help invent what doesn’t yet exist —

new mechanisms, motion systems, and physical intelligence

that redefine how robots interact with the real world.

Your work won’t just build products.

It will

expand what it means to be a mechanical engineer in robotics

.

Detailed JD Here

: Mechanical Engineer - Product Design