Sima.ai Technologies

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 :

- Masters 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