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
A robot is only as capable as the energy that drives it. Every arm motion, every step a legged robot takes and every frame our vision system processes draws on a power system that must be dense, light, safe and reliable. Robots place harsh demands on batteries: sharp peak loads from joint motors, regenerative energy on deceleration, strict weight budgets and continuous operation around people. As CynLr expands into quadrupeds, AMRs and bipeds, energy must be distributed across the robot’s body, charged opportunistically, and replaceable in the field.



These problems are closest to those solved in the EV industry and by battery manufacturers, where power density, thermal behaviour, charging and fail-safe design define success. You will own the design of CynLr’s battery and power systems, from cell to robot, as a senior engineer in a core team of three: Mechanical, Power Electronics / Power Design, and Battery & BMS. The Mobility, Product Design and Certification teams will be your internal customers. What You Will Do This role will involve the following Distributed Battery Design and BMS:
• Pack count, sizing and placement across the robot’s body and legs
• Battery management for distributed batteries: monitoring, balancing and SOC/SOH estimation across packs
• Fail-safe behaviour: fault detection, redundancy, load sharing, protected shutdown and graceful degradation Power Input and Charging:
• Charging circuit design and charging optimisation for quick charge and cycle life
• Opportunity charging and snap-on chargers
• Charging and docking interface design, including auto-retractable charging cables Power Output Design:
• Peak power planning for joint and drive motors, including regenerative loads
• Distributed power delivery to drives, arms, vision and compute
• Surge protection and electrical safety
• Power electronics: DC-DC conversion, pre-charge and protection circuits Battery Pack Design:
• Cell and chemistry selection
• Thermal design, including thermal runaway prevention and containment
• Mechanical shock and vibration robustness, and mechanical form factor
• Pack and placement optimisation for quick charge, replaceability and cell-failure compensation Certification and Lifecycle:
• Battery certifications with the Certification & Test team
• Life cycle analysis, end-of-life and second-life planning
• Hot-swappable and field-replaceable pack design What Are We Looking For Experience & Background:




• 6–10 years in battery and power systems, with at least one battery pack and BMS taken from design to production.
• Background in the EV industry or a battery manufacturer; heavy-payload drone experience is also welcome.
• Hands-on ownership of designs, and the ability to work across mechanical, power electronics and BMS disciplines in a small team. Battery, BMS & Distributed Design:
• Strong understanding of Li-ion cell chemistries (LFP, NMC, high-C-rate cells) and their failure modes.
• Experience designing BMS for distributed battery systems.
• Experience with: SOC/SOH estimation algorithms, Cell balancing (passive and active), CAN / CAN open communication, Basic embedded and control knowledge for BMS and charger firmware. Charging & Power Input:
• Hands-on charging circuit design and optimisation for quick charge.
• Experience with opportunity charging, docking or snap-on charging interfaces. Power Output & Power Electronics:
• Peak power design, surge protection and distributed power architecture.
• Strong power electronics fundamentals, with tools such as Altium/KiCad, LTspice/PLECS and MATLAB/Simulink. Pack Engineering:
• Pack thermal modelling and cooling design (ANSYS, FloTHERM or equivalent).
• Pack mechanical design for shock, vibration and form factor. Failures, Replacement & Certification:
• Strong troubleshooting and failure analysis skills.
• Experience designing for replaceability and hot-swap.
• Hands-on exposure to battery certifications and life cycle analysis:
• IEC 62133-2, IEC 62619, UL 2271
• UN 38.3 transport testing
• BIS IS 16046, EU Battery Regulation Good to Have:
• Experience with legged robots or other weight-critical systems. 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 the Battery and Power Systems program, 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. Detailed JD Here: Senior Engineer
- Battery and Power Systems

📌 Senior Engineer (Bengaluru)
🏢 CynLr
📍 Bengaluru