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 the foundation of product capability.

You will work on end-to-end mechanical product design, where mechanisms, motion, sensing, packaging, and manufacturability are developed as a single system. The work begins with deep problem understanding, translating real-world constraints into mechanical architectures, physical models, and interfaces that guide design decisions, experimentation, and validation.

This role lives in the space between first-principles engineering and hands-on hardware reality. You will own the mechanical design lifecycle from concept and system architecture to detailed design, testing, and iteration, ensuring designs survive contact with manufacturing constraints, assembly realities, and real users.

The goal is not prototypes or demos, but robust, scalable, serviceable mechanical systems that work reliably in real environments.

What You Will Do

Own end-to-end mechanical and system design, including:
Robotic arms, grippers, motion stages, and actuation systems
Vision systems (optics integration, enclosures, calibration structures)
Sensor systems (integration, protection, mechanical intelligence)
Full product enclosures and packaging
Define product architecture, interfaces, load paths, and mechanical intelligence
Design with modularity, scalability, manufacturability, serviceability, and replaceability as first-class constraints
Design product and shipment packaging, accounting for:
Electronics and PCB integration
Thermal paths, vibration, EMI/EMC awareness
Cost, material choice, sustainability, and logistics
Use simulation and physical modelling as thinking tools to guide design decisions and reduce risk
Design tooling, jigs, fixtures, and internal test infrastructure
Support manufacturing scale-up, cost optimisation, and supply-chain-aware design
Work closely with electronics, algorithms, manufacturing, and application teams

What We Look For

We don't expect universal expertise. We look for engineers with deep strength in mechanical design and development, supported by enough system-level understanding to build complete, evolving products.

Core Mechanical Design Strength

Strong grounding in mechanical fundamentals and physical intuition
Deep expertise in one or more of:
Mechanism and machine design
Electro-mechanical component design (actuators, motors, bearings, couplings)
Design for Manufacturing (DFM) and Design for Assembly (DFA)
Design for Serviceability and Maintainability
Structural, thermal, and material-driven design
Mechanical system architecture and integration

Mindset & Working Style

Hands-on experience with fabrication, machining, assembly, or prototyping
Ability to think in systems, not isolated parts
Comfort with open-ended problems, trade-offs, and ambiguity
Strong bias toward documentation, verification, and repeatability
Ability to translate functional or system requirements into robust mechanical designs

Tools

Proficiency with CAD and mechanical design tools (Fusion 360 preferred)
Familiarity with analysis and simulation tools to support design decisions
Exposure to motors, sensors, and basic electronics packaging

Tool choice is not the primary filter. First-principles thinking and sound engineering judgment matter more.

Team Structure & Growth

The mechanical team includes design engineers, simulation-focused engineers, solutions engineers, and general mechanical engineers, working together to build complete physical systems.

You will operate in a highly cross-functional environment, collaborating closely with electronics, algorithms, software, manufacturing, and applications teams. Even in a design-focused role, your work remains tightly connected to hardware, deployment, and real-world use.

As CynLr grows, there are opportunities to specialise deeply, lead subsystems, mentor teams, or expand into system architecture, manufacturing, or customer applications.

Why This Role Matters

Object manipulation in robotics remains unsolved because conventional mechanisms and assumptions don't work. Here, you will help invent what doesn't yet exist—new mechanisms, motion systems, and physical intelligence that redefine how robots interact with the physical world.

Your work won't just sharpen your skills. It will expand what it means to be a mechanical design engineer in robotics.

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