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Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office Job Opening In Singapore, Singapore – Now Hiring National University Health System


Job description

Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office

Join to apply for the Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office role at National University Health System

Overview

We are seeking a talented Robotics Fleet Management Developer to join our team.

As a Robotics Fleet Management Developer, you will be responsible for designing, developing, and maintaining software solutions for managing fleets of robotic systems.

Your work will play a crucial role in optimizing the performance, efficiency, and coordination of robotic fleets across various applications and industries.

Responsibilities

  • Design and develop software systems for fleet management, including task allocation, scheduling, routing, and coordination of robotic resources.

  • Implement algorithms and protocols for communication, localization, and synchronization of robotic agents within the fleet.

  • Integrate with existing robotic platforms and control systems to enable centralized fleet management capabilities.

  • Develop user interfaces and dashboards for monitoring and controlling robotic fleets, providing real-time visibility into system status and performance.

  • Collaborate with cross-functional teams to define requirements and specifications for fleet management software, incorporating feedback from stakeholders and end-users.

  • Conduct testing and validation to ensure the reliability, scalability, and robustness of fleet management solutions in real-world environments.

  • Provide technical support and troubleshooting for deployed fleet management systems, addressing issues and implementing enhancements as needed.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.

  • Proven experience in software development for robotics or autonomous systems, with a focus on fleet management or multi-robot coordination.

  • Proficiency in programming languages such as Python, C++, or Java, as well as software frameworks and libraries for robotics (e.g., ROS, ROS 2).

  • Strong understanding of robotics principles, including motion planning, localization, and communication protocols.

  • Experience with distributed systems, network protocols, and cloud computing platforms for scalable fleet management.

  • Familiarity with simulation tools (e.g., Gazebo, V-REP) and robotic middleware for testing and validation of fleet management software.

  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.

  • Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Management and Manufacturing

Industries

  • Hospitals and Health Care
#J-18808-Ljbffr

Required Skill Profession

Database, Analytics & Bi, Software Architecture & Engineering


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at National University Health System adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office?

Key qualifications for Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office typically include Database, Analytics & Bi, Software Architecture & Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office Job Success

National University Health System interview tips for Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office

Here are some tips to help you prepare for and ace your Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office job interview:

Before the Interview:

Research: Learn about the National University Health System's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Assistant Manager (Fleet Management Engineer), Artificial Intelligence Office interview at National University Health System, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the National University Health System's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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