5 часов назад
Robotics AI Engineer (Robotics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics AI Engineer (Robotics): Designing and deploying AI algorithms that enable robots to perceive, reason, and act in unstructured environments with an accent on robotic perception, localization, mapping, planning, and control. Focus on integrating machine learning models with robotics hardware and sensors, validating autonomy algorithms in simulation and field deployments, and improving safety and reliability in real-world environments.
Location: Singapore; fully onsite at the Singapore office
Company
develops embodied AI and autonomous robotic systems for construction, security, mining, and manufacturing, including deployments in harsh real-world environments.
What you will do
- Design, develop, and deploy AI algorithms for robotic perception, localization, mapping, planning, and control.
- Build and train machine learning models for multimodal robotic perception and decision-making.
- Develop scalable robotics software in Python and C++ and integrate AI models with hardware, sensors, and embedded systems.
- Improve the robustness, reliability, and safety of autonomous robotic systems operating in unstructured environments.
- Test and validate algorithms in simulation and real-world deployments, then analyze field data to improve performance.
- Collaborate with robotics engineers, ML researchers, and systems engineers on end-to-end autonomy solutions.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Strong programming skills in Python and/or C++.
- Experience with machine learning, deep learning, or AI for robotics.
- Knowledge of robotics frameworks such as ROS or ROS2.
- Experience with robot perception, SLAM, sensor fusion, or computer vision, plus familiarity with simulation tools and robotics development environments.
- Strong problem-solving skills and the ability to work in interdisciplinary teams.
Nice to have
- Experience with robot learning, reinforcement learning, or foundation models for robotics.
- Experience deploying AI models on edge systems or embedded platforms.
- Background in autonomous systems, navigation, or field robotics.
- Experience working with robotic platforms and LiDAR, camera, or IMU sensor systems.
Culture & Benefits
- In-person collaboration is required to address complex robotics challenges.
- Flexible hours support work-life balance within the onsite model.
- Work on explainable and safety-focused foundational models for perception, planning, localization, and manipulation.
- Collaborate with an interdisciplinary team focused on field-ready autonomous systems.
- Inclusive workplace with evaluation based on merit, qualifications, and performance.
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