Full-Stack Robotics Engineer (Sensors, Autonomy & Embedded Systems)

Company Description
Inkers Technology is based in Bengaluru with offices in USA and UAE. We specialise in designing and developing deep large-scale AI and ML solutions for the Construction Industry. With a focus on AI, computer vision, and deep neural networks, we have extended our capabilities into the construction industry with our innovative AI-powered construction management solution, “Kael” — an AI project manager that predicts delays, flags risks, automates reporting, and prevents cost overruns with real-time construction intelligence. Our hardware platform, “Observance”, uses LiDAR scanning, thermal imaging, and AI-powered analysis to deliver BIM Models, deviation detection, and as-built intelligence. We are committed to pushing the boundaries of technology across diverse sectors.
Role Description
We are looking for a Full-Stack Robotics Engineer who can take a robotic or sensor system from a blank sheet to a working product. You will work across the whole stack: mechanical design, electronics and firmware, and robot software (ROS, navigation and perception). If you have built a real robot or sensor platform from the ground up and love debugging it in the field, this role is for you.
Key Responsibilities
Design & build: Take hardware products from concept to prototype to production, integrating multiple sensors such as LiDAR, cameras and IMUs.
Robot software: Develop and maintain ROS/ROS2 nodes in C++ and Python, including navigation, path planning, localisation and sensor-driver integration.
Electronics & firmware: Design and bring up interfaces and sensor boards using UART, I2C, SPI and microcontrollers (Arduino, STM32 or similar); write and debug embedded code.
Mechanical design: Create 3D models, assemblies and manufacturing drawings in SolidWorks and AutoCAD; select materials and components; work with vendors on fabrication.
Integration & testing: Bridge hardware and software, run field trials, and find the root cause of issues across mechanical, electrical and software layers.
Collaboration: Work with the AI, computer vision and software teams to turn product requirements into robust, scalable systems that perform in real-world site conditions.
Ownership: Document designs, own technical decisions for your subsystem, and help shape the future of our product line.
Required Qualifications
Experience: 2–3 years of hands-on work in robotics, autonomous systems, sensors or automation.
Built from scratch: Has designed and built at least one complete product or system end to end (robot, scanner, AGV/AMR, sensor rig or similar) and can explain every design decision.
ROS & C++: Strong working experience with ROS/ROS2 and C++; comfortable with Python.
Navigation: Practical knowledge of path planning and the ROS Navigation Stack (Nav2/move_base), including mapping and localisation.
Electronics: Solid understanding of electronic components and circuits; working knowledge of UART, I2C and microcontroller platforms such as Arduino.
Mechanical CAD: Proficiency in SolidWorks and AutoCAD for part design, assemblies and drawings.
Education: B.E./B.Tech in Robotics, Mechatronics, Electronics, Electrical, Mechanical, Computer Science or a related field.
Mindset: A sharp problem-solver who digs into root causes, learns new tools quickly and works independently.
Preferred Qualifications
Experience with multi-sensor systems (LiDAR, cameras, IMUs, thermal) and sensor calibration or time synchronisation.
Hands-on SLAM or registration-based mapping pipelines.
Background in autonomous vehicles, warehouse automation, AMR/AGV, drones or sensor-motor control.
PCB design (KiCad, Altium or Eagle), 3D printing/prototyping, and design-for-manufacturing exposure.
Embedded Linux, Jetson or Raspberry Pi-class platforms, and CAN/SPI/Ethernet protocols.
A portfolio, GitHub, demo videos or shipped products to show your work.
Work Location : Bangalore (On-site)

Work arrangement
No