Hardware Engineer – Robotics, LiDAR & 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're hiring a Hardware Engineer with hands-on experience in embedded systems and robotics sensing. You will own the integration, bring-up, and validation of multi-sensor systems — LiDAR, cameras, and IMUs — running on edge computing platforms. This is a role for someone who loves getting hardware to work reliably in the field, not just on the bench.

Key Responsibilities

• Integrate, configure, and validate LiDAR, camera, IMU, and other sensors into production-grade multi-sensor systems.
• Develop and maintain ROS/ROS2 hardware interfaces, sensor drivers, and launch configurations.
• Perform hardware bring-up, low-level debugging, and end-to-end field testing on embedded Linux platforms.
• Own sensor calibration — intrinsic and extrinsic — and implement synchronisation pipelines for time-critical sensor fusion.
• Work directly with communication protocols (I2C, SPI, UART, CAN, USB, Ethernet) to debug hardware-level issues.
• Collaborate closely with AI, Computer Vision, and Robotics teams to ensure sensor data quality meets downstream algorithm requirements.
• Contribute to system-level documentation, calibration reports, and hardware test procedures.
• Support motor control and actuation systems (BLDC motors, servo systems) where required.

Qualifications

• 1–2 years of professional experience in hardware/embedded systems engineering.
• Proven, hands-on experience with LiDAR sensors and multi-sensor system integration.
• Solid working knowledge of ROS/ROS2 — you've written nodes, written launch files, and debugged tf trees.
• Strong C++ and Python skills for embedded and robotics development.
• Experience with embedded Linux environments, bash scripting, and standard debugging tools (GDB, oscilloscope, logic analyser).
• Familiarity with serial communication protocols: I2C, SPI, UART, CAN, USB, and Ethernet.
• Understanding of sensor calibration techniques (intrinsic and extrinsic).
• Bachelor's degree in Electronics, Robotics, Embedded Systems, or a related engineering discipline.
• Familiarity with motor systems (BLDC motors, servo drives) and control principles.
• Exposure to sensor fusion, SLAM, or point cloud processing.
• Experience in a product-focused startup or fast-paced R&D environment.
• Proactively uses AI/ML solutions and agentic AI platforms to improve workflows, automate repetitive tasks, and enhance engineering output.

Work Location :  Bangalore (On-site)