Research Fellow - Robotics Software Engineer

Beex Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Benefits offered by this job

Market competitive salary

Growth opportunities

Healthcare support

Skills upgrading support

Access to industry events

Well-stocked pantry

Job summary

A leading technology firm in Singapore is seeking a talented individual to advance the autonomy and data intelligence of underwater robotic systems. The role involves designing and validating algorithms for inspection missions, collaborating with various stakeholders, and contributing to cutting-edge underwater technology. Candidates should possess a PhD or relevant experience in Electrical/Mechanical Engineering or Computer Science, with strong skills in robotics, programming, and machine learning. The company offers a competitive salary and excellent benefits in a dynamic environment.

Qualifications

• PhD (or near completion) in Electrical/Mechanical Engineering, Computer Science, or a related discipline.
• Strong foundation in systems, robotic perception and 3D computer vision.
• Proficiency in Python/C++ and ROS.
• Experience in machine learning and signal processing for anomaly detection.

Responsibilities

• Design and implement algorithms for structural anomaly detection from sensor data.
• Conduct simulation and field trials, including data collection, processing, and analysis.
• Work with cross‑disciplinary teams to integrate algorithms into operational AUV platforms.
• Prepare technical documentation, research publications, and project deliverables.

Skills

Robotic perception

3D computer vision

Python

C++

Machine learning

Signal processing

Anomaly detection

Education

PhD in Electrical/Mechanical Engineering or Computer Science

Strong technical competency and relevant experience

Tools

ROS (Robot Operating System)

TensorFlow

PyTorch

Linux

Docker

Git

Job description

WHY JOIN US?

We’re pioneering the world’s most advanced Hovering Autonomous Underwater Vehicles (HAUVs) and Autonomous Robotics-as-a-Service (ARaaS) to safeguard critical underwater infrastructure in the maritime, energy, and defense sectors while drastically reducing carbon emissions. The industries we serve needs new ways to overcome their current challenges, and BeeX is delivering exactly that.

Creating anything new is very hard. To achieve this, we need outstanding people. At BeeX, everyone is united by enthusiasm for bold innovation. Our multi‑disciplinary team thrives in dynamic environments, driving transformative advancements globally.

What you can achieve at BeeX depends on what your goals are. By joining our fast‑growing startup, you will be exposed to different aspects of Deeptech, from design to commercialisation. Join us to make a meaningful impact on the world!

If you thrive in a dynamic, fast‑paced environment and are excited about using cutting‑edge robotics to make a meaningful global impact, we want to hear from you.

YOUR ROLE

You will play a key role in advancing the autonomy and data intelligence of underwater robotic systems for the inspection of submerged infrastructure. Working closely with stakeholders — and in collaboration with BeeX’s field‑proven AUV platforms – you will design, test, and validate algorithms that enhance situational awareness, reliability, and automation of underwater missions.

YOUR JOB SCOPE

• Design and implement algorithms for structural anomaly detection from sensor data (e.g. camera, forward looking sonar, multi‑beam sonar, etc.).
• Conduct simulation and field trials, including data collection, processing, and analysis.
• Work with cross‑disciplinary teams to integrate algorithms into operational AUV platforms.
• Prepare technical documentation, research publications, and project deliverables.

DESIRED QUALITIES

Technical Competencies

• PhD (or near completion) in Electrical/Mechanical Engineering, Computer Science, or a related discipline.
• Candidates without PhD but with strong technical competency and relevant experience will also be considered for this role.
• Strong foundation in systems, robotic perception and 3D computer vision.
• Proficiency in Python/C++ and ROS (Robot Operating System).
• Experience in machine learning and signal processing for anomaly detection.
• Familiarity with 3D reconstruction and point cloud processing.
• Understanding of sensor fusion and navigation algorithms.

Preferred Experience

• Hands‑on experience with AUVs, ROVs, or other field robotics systems.
• Experience in structural defect detection based on visual and/or 3D point cloud.
• Exposure to deep learning frameworks (TensorFlow, PyTorch) for perception tasks.
• Knowledge of autonomous mission planning.
• Familiarity with Linux, Docker, and version control systems (Git).
• Previous work in infrastructure inspection, marine sensing, or predictive maintenance applications.

Personal Attributes

• Strong analytical and problem‑solving mindset.
• Self‑motivated and proactive in research execution.
• Excellent communication and teamwork skills across academic and industry partners.
• Willingness to participate in field deployments and trials.

REMUNERATION & BENEFITS

We are committed to recognising and rewarding outstanding talent.

• Market competitive salary.
• Growth opportunities aligned with your direct contribution to the company, not an arbitrary corporate ladder.
• Healthcare support.
• Support for skills upgrading/learning credits.
• Special access to industry events.
• Well‑stocked pantry with great snacks.