Total 6 job vacancies by St Engineering Ihq Pte. Ltd.

We are looking for an Embodied AI Engineer to work on humanoid robot projects, focusing on integrating perception, decision-making, and control across simulation and real-world systems at ST Engineering, AI.DA Strategic Technology Centre (STC). This role involves hands-on development using modern robotics frameworks and simulation platforms, with a strong emphasis on deploying embodied intelligence on humanoid robots.

Key Responsibilities

·       Design, implement, and maintain ROS 2–based robotic systems for humanoid robots

·       Develop core embodied AI components using C++ and Python

·       Build, test, and validate humanoid robot behaviors in NVIDIA Isaac Sim

·       Use Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)

·       Integrate perception, locomotion, manipulation, and control modules

·       Debug and optimize system performance in both simulation and real-world environments

·       Collaborate closely with AI researchers and robotics engineers on end-to-end humanoid AI systems

Required Skills

·       At least a Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field

·       Strong working experience with ROS 2

·       Proficient in C++ and Python

·       Hands-on experience with NVIDIA Isaac Sim

·       Familiarity with Isaac Lab for robot learning or control development

·       Solid foundation in robotics fundamentals (kinematics, dynamics, control, sensing)

Preferred (Bonus) Skills

·       Prior experience working on robot projects

·       Experience with reinforcement learning, imitation learning, or control policy training

·       Knowledge of locomotion and whole-body control for humanoid robots

·       Experience with sim-to-real transfer and real robot deployment

Why Join Us

We are an enthusiastic and innovative team, and joining us means you’ll grow tremendously as an embodied AI engineer. Here are some reasons this role is great for your development:

·       Mentorship & Growth Learn from experienced engineers and domain experts who will support your development and guide your learning journey.

·       Cutting-Edge Projects Contribute to humanoid systems that apply the latest AI models in real-world contexts, expanding your technical skills and innovation potential.

·       Supportive Team Culture Work in a friendly, collaborative, and inclusive environment. We embrace continuous learning, curiosity, and shared success.

• Conduct research & development to build new cyber security technologies
• Develop proof-of-concepts and use-case demonstrations of research outcome
• Prepare research proposals for grant applications to secure research funding

Requirement:

• Candidates with a PhD, Master or Bachelor Degree in Computer Science, Computer Engineering, or closely-related areas
• Prior experience in securing research grants with a good track record of peer-reviewed publications
• Prior R&D experience in the areas of post quantum cryptography, IoT/IIoT security, hardware security, mobile device security, vulnerability & threat research, deep learning, adversarial AI or explainable AI
• Strong programming and analytical skills
• Strong written and communication skills

Key Job Accountabilities

Lead research domains, propose research directions and guide research execution of team members

Lead projects and ensure delivery based on the project requirement

Prepare research proposals to secure research programmes and funding

Conduct research & development to create novel cyber security technologies

Develop proof-of-concepts and use-case demonstrations of research outcome

Required Experience and Qualifications

Possess Ph.D. or Masters in cybersecurity or relevant area

Prior at least 5 years experience in securing research grants with a good track record of peer-reviewed publications

Prior R&D experience in the areas of threat research, deep learning, adversarial AI and/or explainable AI, privacy preserving technologies, generative AI security and privacy

Strong programming and analytical skills

Strong written and communication skill

We are looking for an Embodied AI Engineer to work on humanoid robot projects, focusing on integrating perception, decision-making, and control across simulation and real-world systems at ST Engineering, AI.DA Strategic Technology Centre (STC). This role involves hands-on development using modern robotics frameworks and simulation platforms, with a strong emphasis on deploying embodied intelligence on humanoid robots.

Key Responsibilities

·       Design, implement, and maintain ROS 2–based robotic systems for humanoid robots

·       Develop core embodied AI components using C++ and Python

·       Build, test, and validate humanoid robot behaviors in NVIDIA Isaac Sim

·       Use Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)

·       Integrate perception, locomotion, manipulation, and control modules

·       Debug and optimize system performance in both simulation and real-world environments

·       Collaborate closely with AI researchers and robotics engineers on end-to-end humanoid AI systems

Required Skills

·       At least a Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field

·       Strong working experience with ROS 2

·       Proficient in C++ and Python

·       Hands-on experience with NVIDIA Isaac Sim

·       Familiarity with Isaac Lab for robot learning or control development

·       Solid foundation in robotics fundamentals (kinematics, dynamics, control, sensing)

Preferred (Bonus) Skills

·       Prior experience working on robot projects

·       Experience with reinforcement learning, imitation learning, or control policy training

·       Knowledge of locomotion and whole-body control for humanoid robots

·       Experience with sim-to-real transfer and real robot deployment

Why Join Us

We are an enthusiastic and innovative team, and joining us means you’ll grow tremendously as an embodied AI engineer. Here are some reasons this role is great for your development:

·       Mentorship & Growth Learn from experienced engineers and domain experts who will support your development and guide your learning journey.

·       Cutting-Edge Projects Contribute to humanoid systems that apply the latest AI models in real-world contexts, expanding your technical skills and innovation potential.

·       Supportive Team Culture Work in a friendly, collaborative, and inclusive environment. We embrace continuous learning, curiosity, and shared success.

We are looking for an Embodied AI Engineer to work on humanoid robot projects, focusing on integrating perception, decision-making, and control across simulation and real-world systems at ST Engineering, AI.DA Strategic Technology Centre (STC). This role involves hands-on development using modern robotics frameworks and simulation platforms, with a strong emphasis on deploying embodied intelligence on humanoid robots.

Key Responsibilities

·       Design, implement, and maintain ROS 2–based robotic systems for humanoid robots

·       Develop core embodied AI components using C++ and Python

·       Build, test, and validate humanoid robot behaviors in NVIDIA Isaac Sim

·       Use Isaac Lab for robot learning workflows (e.g., reinforcement learning, policy training, evaluation)

·       Integrate perception, locomotion, manipulation, and control modules

·       Debug and optimize system performance in both simulation and real-world environments

·       Collaborate closely with AI researchers and robotics engineers on end-to-end humanoid AI systems

Required Skills

·       At least a Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field

·       Strong working experience with ROS 2

·       Proficient in C++ and Python

·       Hands-on experience with NVIDIA Isaac Sim

·       Familiarity with Isaac Lab for robot learning or control development

·       Solid foundation in robotics fundamentals (kinematics, dynamics, control, sensing)

Preferred (Bonus) Skills

·       Prior experience working on robot projects

·       Experience with reinforcement learning, imitation learning, or control policy training

·       Knowledge of locomotion and whole-body control for humanoid robots

·       Experience with sim-to-real transfer and real robot deployment

Why Join Us

We are an enthusiastic and innovative team, and joining us means you’ll grow tremendously as an embodied AI engineer. Here are some reasons this role is great for your development:

·       Mentorship & Growth Learn from experienced engineers and domain experts who will support your development and guide your learning journey.

·       Cutting-Edge Projects Contribute to humanoid systems that apply the latest AI models in real-world contexts, expanding your technical skills and innovation potential.

·       Supportive Team Culture Work in a friendly, collaborative, and inclusive environment. We embrace continuous learning, curiosity, and shared success.

The Governance & Awareness Specialist drives enterprise-wide cybersecurity awareness and governance reporting to reduce human cyber risk. The role designs and delivers a risk‑based security awareness programme, measures and improves employee behaviour, and provides governance oversight to ensure GISO documentation and management reporting are accurate, consistent, and decision‑ready.

Key Job Accountabilities:

• Identify top human cyber risks and define required behaviour changes to mitigate those risks
• Design, implement, and continuously improve a risk-based cybersecurity awareness program, incorporating employee feedback
• Plan and execute simulated phishing campaigns and targeted awareness initiatives to drive measurable and sustained employee behaviour change
• Develop and manage a metrics framework to track compliance, employee behaviour, and program effectiveness
• Produce high‑quality management reporting using a single source of truth to support risk ownership and decision‑making
• Create clear, engaging security communications, training materials, and internal awareness content
• Partner with Corporate Communications function to deliver regular, targeted messaging that reinforces a strong security‑aware culture
• Coordinate governance oversight of GISO policies, standards, and guidelines, working with subject‑matter experts to ensure timely reviews and updates
• Manage GISO intranet content to ensure information is accurate, current, and easily accessible
• Liaise with internal and external auditors on cybersecurity-related matters as required
• Support Risk & Assurance function on cyber risk activities (e.g. CMMC, Control Self-Assessments) as required
• Monitor emerging threats and trends to ensure awareness content remains relevant and timely

Reporting Line:

• This position reports to the Group Chief Information Security Officer (GCISO)

Required Experience and Qualifications:

• Degree in Communications, Marketing, Psychology, or a related discipline (or equivalent experience)
• Minimum 3 years’ experience in security awareness, communications, marketing, or related roles
• Demonstrated ability to translate complex technical concepts into clear, practical guidance for diverse audiences
• Strong stakeholder management and influencing skills across business units and enabling functions
• Experience working with HR, Risk, Audit, and business stakeholders
• Hands-on experience with Microsoft M365 and Power BI
• Experience with Learning Management Systems (LMS), content authoring, and training delivery platforms
• Solid project management skills, including planning, execution, and outcome measurement
• Strong judgment, prioritisation, and attention to detail
• Candidates with no experience but good academic records can be considered

Why Join Us?

• Be part of a large multinational group with enterprise-scale cybersecurity exposure.
• Gain hands-on experience across security awareness, governance, and reporting.
• Work in a collaborative environment that supports professional growth and learning.
• Based at the modern ST Engineering Hub in Singapore.