Company Description MultiplexEV is an agritech organization focused on building electric tractors, and construction equipments from the ground up. The company leverages advanced technologies, including Machine Learning (ML) and Artificial Intelligence (AI), to power smart farming solutions. These innovations support farm health monitoring and precision agriculture, helping farmers make data-driven decisions and improve productivity. MultiplexEV operates at the intersection of electric vehicles and agriculture, offering a dynamic environment for professionals interested in sustainable, tech-driven farming.

Key responsibilities
Technical leadership
• Define the system architecture for perception, planning, controls and hardware interfaces
• Make build-vs-buy and technology-stack decisions (ROS 2, simulation tools, compute platforms)
• Set engineering standards for code quality, testing, safety and documentation
• Review designs and code; be the final technical escalation point Hands-on engineering
• Develop and optimise core modules in motion planning, controls, localisation or manipulation
• Lead sensor integration and calibration (LiDAR, cameras, IMU, encoders, force/torque)
• Build simulation and hardware-in-the-loop test pipelines to cut field debugging time
• Diagnose complex failures across software, electronics and mechanics Team and delivery
• Hire, mentor and grow a team of robotics engineers
• Plan roadmaps and sprints with product, hardware and operations teams
• Own delivery from prototype to production and field deployment
• Drive compliance with relevant safety standards: ISO 3691-4 (indoor AMRs), ISO 18497 (agricultural machines), ISO 17757 (construction and mining machines)



and ISO 13849 (safety-related control systems) Required qualifications
• B.
Tech/B.
E., M.
S. or Ph.
D. in Robotics, Mechanical, Electrical, Computer Science or a related field
• 6–8 years building robotic systems, with at least one product shipped to real users or customers
• 2+ years leading engineers, formally or as tech lead
• Robust C++ (modern C++14/17) and Python, with deep experience in ROS 2, Linux and real-time systems
• Hands-on autonomous navigation for wheeled or tracked vehicles: localisation, path planning and path following for skid-steer and Ackermann platforms
• Multi-sensor fusion across LiDAR, radar, cameras, IMU, wheel odometry and RTK-GNSS
• Robust localisation where GNSS is weak or missing: warehouses, vineyard rows under canopy, underground or open-pit mines
• Navigation on uneven terrain: traversability mapping, slope handling, and obstacle and person detection in cluttered outdoor scenes
• Experience with ROS 2 navigation stacks (Nav2, Autoware or similar) and simulation tools such as Gazebo or Isaac Sim
• Track record of debugging integrated hardware-software systems in the field Preferred qualifications
• Converting existing machines to autonomy: drive-by-wire integration and vehicle buses such as CAN, J1939 or ISOBUS
• Ruggedising sensors and compute against dust, mud, rain, vibration and heat (enclosures, sensor cleaning, IP ratings)
• Vineyard or orchard row-following, or autonomy for haul and earth-moving machines at construction and mining sites
• Fleet management, teleoperation fallback and connectivity over 4G/5G or private LTE
• Perception and ML for outdoor autonomy, with edge deployment on NVIDIA Jetson or similar
• Running field-test programmes at real customer sites

📌 Lead Robotics Engineer (Bengaluru)
🏢 MultiplexEV
📍 Bengaluru