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Job Description & How to Apply Below
About Cyn Lr
Just like a baby's brain, Cyn Lr 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.
Cyn Lr-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 Cyn Lr lies a fundamentally new approach to machine vision. Unlike conventional vision systems that rely on image recognition and heuristics, Cyn Lr' 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, Cyn Lr builds its hardware, sensors, compute pipelines, and learning stacks from scratch, tightly coupling perception, decision-making, and action.
This integration allows Cyn Lr 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, Cyn Lr is redefining how robots perceive, reason, and interact with the physical world.
About the Role
This role focuses on applying Cyn Lr's products to real-world customer and internal R&D use cases .
You will work at the intersection of product capability and customer reality , translating application needs, constraints, and workflows into complete mechanical solutions . The work begins with a deep understanding of customer problems , rather than jumping straight to parts or prototypes, and evolves into system-level designs that guide integration, deployment, and iteration .
Strong engineering here lives in the balance between theory, system understanding, and hands-on reality . You will use first-principles thinking to frame application problems, identify constraints, and design practical, testable solutions that work reliably in real customer environments.
You will own the entire solution lifecycle , from application definition and system architecture to mechanical design, integration, testing, and on-site refinement. The goal is not one-off demos, but repeatable, deployable solutions that feed back into scalable and configurable product offerings.
This role suits engineers who enjoy system-level thinking , working close to customers and hardware , and seeing solutions through to real-world deployment.
What You Will Do
Design customer-facing applications and solutions , including:
Visualising and modelling product integration into real factory environments, machines, and workflows
Translating abstract customer requirements and constraints into complete mechanical system architectures
Designing end-to-end mechanical solutions that account for installation, operation, and long-term use
Support integrator-driven deployment through:
Mechanically customizable interfaces and mounting strategies
Clear physical APIs, tolerances, and integration logic for repeatable field deployment
On-site or near-field iteration, troubleshooting, and refinement
Evolve solutions from:
Custom, integrator-heavy deployments
Configurable, teachable, and repeatable productized systems
Collaborate closely with product design, simulation, electronics, algorithms, manufacturing, and applications teams
Support validation, testing, and feedback from deployed systems
What We Look For
This role spans end-to-end mechanical ownership of customer-facing solutions , without expecting universal expertise. We look for engineers with …
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