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MTS, Robotics Engineer (AI2438)
India
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
Job Description:
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.
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