
CynLr is a robotics startup focused on developing a universal factory concept where a single robot, CyRo, can perform multiple manufacturing tasks by intuitively grasping and manipulating any object without pre-training. Their core technology, CLX1, is an intelligence stack that acts as a vision platform, enabling machines to 'see' and interact with objects in any environment, adapting to lighting variations and identifying reflective parts. This system aims to replace traditional sensor fusion by offering a unified vision platform that perceives motion, depth, and color simultaneously. CynLr's approach to object manipulation allows robots to learn and re-orient objects based on shape and color, and make precise, oriented placements. The company emphasizes that 'team is the tech,' highlighting the importance of organizational interaction in product development. CynLr has expanded its global presence by opening a design and research center in Switzerland.

CynLr is a robotics startup focused on developing a universal factory concept where a single robot, CyRo, can perform multiple manufacturing tasks by intuitively grasping and manipulating any object without pre-training. Their core technology, CLX1, is an intelligence stack that acts as a vision platform, enabling machines to 'see' and interact with objects in any environment, adapting to lighting variations and identifying reflective parts. This system aims to replace traditional sensor fusion by offering a unified vision platform that perceives motion, depth, and color simultaneously. CynLr's approach to object manipulation allows robots to learn and re-orient objects based on shape and color, and make precise, oriented placements. The company emphasizes that 'team is the tech,' highlighting the importance of organizational interaction in product development. CynLr has expanded its global presence by opening a design and research center in Switzerland.
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 eliminating the need for rigid fixtures, pre-training, or environment customization. This enables an universal alternative to custom automation thus simplifying factory lines into 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:
Product Design begins as a hypothetical concept. Transforming that concept into a functional Product is a highly creative and experimental process that requires a strong understanding of system-level fundamentals and application-driven trade-offs.
In FPGA-based embedded systems, the utility and limitations of a product are defined by how effectively the FPGA platform is configured, integrated, and used at the system and application level. Performance, latency, determinism, and I/O capability depend on IP selection, configuration, firmware integration, and system architecture.
You will be responsible for the application-level design, integration, validation, and deployment of FPGA-based embedded systems. The Product Design team will be your internal customer.
Key Responsibilities:
Team Structure & Career Path:
This role resides in the Electronics team and is part of the larger hardware team. The role has touchpoints with other teams most notably the Product Design team. We are a startup and there is a tremendous potential to build your own team or grow into a principal engineer role over time in the space or expand into other areas.
Job Requirements
Below are some key requirements. We expect working knowledge in most areas and deep hands-on expertise in either FPGA or SoC
A. Electronics & System Fundamentals:
B. FPGA Application & Platform Development:
C. Embedded Firmware Design & Development:
D. Interfaces & Communication:
E. Verification and Validation:
F. Behavioural Tendency:
Critical Thinking, Available, Responsible, Versatile, Resourceful, Thorough, Attention to Details & “Humble”.
What Will You Do:
CynLr’ s vision system is central in the control loop of the vision guided manipulation platform. The stereo vision system is acquiring at 75 FPS and this means processing must also happen at this speed or higher and the processing method based on neural network is computationally intensive as it involves a high level of successive matrix multiplication. For this the processing is split between multiple processing units FPGA, GPU and CPU based on the type of processing that is required. Your focus will be majorly on the FPGA, working closely with the Product Design team to build and deploy FPGA-based embedded systems at the application and system level. This includes configuring FPGA platforms using vendor tools and IP, developing embedded firmware to control and interface with FPGA logic, bringing up and validating hardware, and debugging system-level issues involving interfaces, memory, and peripherals. You will define and execute verification and validation procedures, support prototypes and manufacturing builds, and ensure reliable system behaviour in real-world use. This role focuses on integration, firmware, and system validation
How Will You Do:
Though confined to a focused area, the work is pretty much expected to be entrepreneurial with the exact advantages and difficulties of a startup. Since this is a startup and the product will evolve at a rapid pace, the contours of the technology, toolchain & Process will have to constantly adapt to the changes. You will participate in actively contributing in building the process & tool chain too. You will have complete freedom here, but you will be subjected to reviews.
Detailed JD Here: Embedded System Engineer - FPGA/SoC