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AI Infrastructure Engineer Job Opening In Singapore, Singapore – Now Hiring TOSS-EX PTE. LTD.


Job description

Job Summary

As a key member of the AI Services Division, the AI Infrastructure Engineer will be responsible for designing, deploying, and maintaining high-performance AI computing environments.

The role focuses on NVIDIA GPU-based systems and requires deep technical expertise in AI infrastructure and server technologies.

The ideal candidate will combine strong technical acumen with hands‑on experience in system implementation and customer engagement.

Responsibilities

  • Pre‑Sales Technical Support – Provide pre‑sales technical consultation for AI servers and related hardware solutions, including requirements analysis, solution design, performance evaluation, and technical communication.

    Understand customers’ AI application scenarios (e.g., large‑model training, inference, HPC computing, and data analytics) to recommend optimal server configurations and system architectures.

    Collaborate with the sales team to prepare technical proposals, bidding documentation, solution presentations, and demonstrations.

    Participate in Proof of Concept (POC) testing, performance tuning, and solution validation to ensure alignment with customer business objectives.

  • Deployment Support
    • Physical Deployment – Perform onsite installation of AI infrastructure, including server setup, network integration, cabling, and labeling.

    • Logical Configuration – Configure systems and networks, conduct validation tests, and benchmark performance.

    • Operational Enablement – Deliver system configuration and operation documentation.

      Implement foundational operational tools (e.g., monitoring and alerting systems).

  • Maintenance and Support – Diagnose and troubleshoot hardware and software issues in AI infrastructure.

    Perform hardware replacement, software updates, or implement workarounds as required.

    Escalate complex technical issues to vendors for advanced support when necessary.

Qualifications and Skills

Bachelor’s degree or higher in Computer Science, Electronics, Communications, Information Engineering , or a related discipline.

5+ years of experience in server OEM environments or related fields such as AI computing, big data, or HPC infrastructure .

Strong understanding of server hardware architectures (CPU/GPU, memory, storage, networking).

Hands‑on experience deploying or maintaining large-scale NVIDIA AI infrastructure , including at least one of the following: B200, GB200, or GB300 .

Familiarity with major computing platforms such as NVIDIA, Intel, and AMD .

Excellent problem‑solving, collaboration, and customer service skills.

Proficient in English (reading and writing); able to interpret technical documentation and communicate effectively.

Preferred Attributes

Experience working with AI infrastructure deployment at scale in enterprise or data‑center environments.

Knowledge of Linux system administration, performance tuning , and monitoring tools .

Strong analytical mindset and eagerness to learn emerging AI technologies.

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Required Skill Profession

Networks & Systems


  • Job Details

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Unlock Your AI Infrastructure Potential: Insight & Career Growth Guide


Real-time AI Infrastructure Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI Infrastructure in Singapore, Singapore, highlighting market share and opportunities for professionals in AI Infrastructure roles.

3530 Jobs in Singapore
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Are You Looking for AI Infrastructure Engineer Job?

Great news! is currently hiring and seeking a AI Infrastructure Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 TOSS-EX PTE. LTD. 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 AI Infrastructure Engineer 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 AI Infrastructure Engineer?

Key qualifications for AI Infrastructure Engineer typically include Networks & Systems 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 AI Infrastructure Engineer Job Success

TOSS-EX PTE. LTD. interview tips for AI Infrastructure Engineer

Here are some tips to help you prepare for and ace your AI Infrastructure Engineer job interview:

Before the Interview:

Research: Learn about the TOSS-EX PTE. LTD.'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 AI Infrastructure Engineer interview at TOSS-EX PTE. LTD., 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 TOSS-EX PTE. LTD.'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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