Job Description

Job Title: MTS, Robotics Engineer

Job Location: Bangalore, India

(

This position requires a full-time, on-site presence in our Bangalore, India Office

)

Job ID: AI2438

:

We are seeking an exceptional

Member of Technical Staff, Robotics Engineer

to join our cutting-edge Robotics and AI team. The ideal candidate brings deep, hands-on experience in autonomous mobile robots (AMRs), aerial drones, and, ideally, humanoid robots. You will play a strategic and technical leadership role in developing intelligent, autonomous systems across various platforms.

This role requires a strong foundation in

embedded systems

, a solid grasp of

neural networks and AI

, and an up-to-date understanding of advancements in

Generative AI (GenAI)

. Expertise in

Lidar-based SLAM

and

Visual SLAM

is critical for success in this role.

Key Responsibilities:

Lead architecture, design, and development of software and hardware systems for AMRs, drones, and/or humanoid robots. Develop and deploy perception, localization, and navigation systems using

Lidar-based and Visual SLAM

techniques. Design real-time embedded systems to interface with sensors, actuators, and compute platforms (e.g., ARM, DSPs, FPGAs). Integrate

deep learning models

for object detection, motion planning, behavior prediction, and scene understanding. Contribute to or lead R&D efforts related to

Generative AI

and its applications in robotics. Collaborate with cross-functional teams including mechanical, electrical, and AI scientists to deliver complete solutions. Evaluate and integrate sensors such as cameras, IMUs, LIDARs, and ultrasonic systems for 360 situational awareness. Mentor junior engineers and provide strategic input into long-term robotics and AI vision.

Required Qualifications:

Master's or Ph.D. in Robotics, Computer Engineering, Electrical Engineering, or a related field. 10+ years of experience in robotics systems design, with a focus on

AMRs and/or drones

. Proficiency in

C/C++, Python

, and ROS/ROS2 frameworks. Proven experience with

SLAM systems

, both Lidar-based (e.g., Cartographer, LOAM) and visual (e.g., ORB-SLAM, OpenVSLAM). Hands-on expertise with

embedded systems

, RTOS, and board-level debugging. Solid understanding of

deep learning frameworks

(e.g., PyTorch, TensorFlow) and their deployment on edge devices. Familiarity with

Generative AI models

(e.g., transformers, diffusion models) and how they are shaping future intelligent systems. Experience with humanoid robotics is a strong plus.

Preferred Skills:

Experience with

hardware-in-the-loop (HIL)

testing and simulation platforms (e.g., Gazebo, Isaac Sim). Knowledge of real-time computer vision, 3D mapping, and autonomous decision-making. Familiarity with safety, compliance, and fail-safe system design for autonomous platforms. Contributions to open-source robotics or AI projects. Demonstrated innovation through patents or publications.

Personal attributes:

Can-do attitude. Strong team player. Curious, creative, and good at solving problems. Execution and results oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.