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MTS, Robotics Engineer

MTS, Robotics Engineer

SiMa.ai
10-12 Years
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

Brief Description: SiMa.ai™ is scaling Physical AI in Robotics, Automotive, Industrial, Aerospace and Defense, and Medical markets. We have created the industry's best purpose-built, software centric Physical AI HW/SW platform that leads the industry in Ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans backed by a set of top investors committed to helping customers bring ML on their platforms. SiMa.ai was founded in 2018, has raised $355M and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance and more. For more information, visit https://sima.ai/.

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: AI2443

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 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.
  • 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.

More Info

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Key Skills

Lidar-based SLAM

Generative AI

deep learning frameworks

Visual SLAM

ROS2

About Company

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