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1 месяц назад

Robotics AI Engineer Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
c1
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Robotics AI Engineer Intern (AI): Developing advanced software features for humanoid robotics with an accent on VLM integration, simulation environments, and scene reconstruction. Focus on integrating VLMs for scene understanding, configuring digital twins in NVIDIA Isaac Sim, and implementing 3D Gaussian Splatting for real-to-sim pipelines.

Location: Must be based in Singapore

Company

hirify.global is an independent technology and electronics company focused on making mobility safe, connected, and autonomous through sensor solutions and software-defined vehicle platforms.

What you will do

  • Integrate Vision-Language Models (VLMs) for high-level scene understanding and adaptive task planning.
  • Develop pipelines to process sensor data and generate actionable commands for robotic sorting tasks.
  • Construct and configure digital twins of mock-up workspaces using NVIDIA Isaac Sim or Omniverse.
  • Evaluate and implement state-of-the-art open-source solutions for 3D Gaussian Splatting.
  • Build scene reconstruction pipelines from real-world camera feeds.
  • Collaborate with senior R&D engineers to transition complex features from concept to reality.

Requirements

  • Proficiency in Python programming and familiarity with the current landscape of frontier LLMs.
  • Experience with prompting and context engineering.
  • Knowledge of robotics, actuators, and sensor perception (vision, lidar, etc.).
  • Fluent English, both written and oral.
  • Willingness to work onsite in Singapore.

Nice to have

  • Familiarity with ROS/ROS2 or humanoid robotics.
  • Knowledge of navigation algorithms.
  • Experience with Docker.

Culture & Benefits

  • Opportunity to work at the forefront of humanoid robotics innovation.
  • Mentorship and close collaboration with senior R&D engineers.
  • Hands-on experience with cutting-edge tools like NVIDIA Omniverse and VLMs.

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