MTS, Robotics Engineer

Sima Technologies

10 - 15 years

12 - 16 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

rtos c++ simulation debugging system design technical staff sensors mts robotics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.
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.

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