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Urgent! AI Infrastructure Engineer Job Opening In Singapore, Singapore – Now Hiring Toss-Ex Pte Ltd
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
1.
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.
2.
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).
3.
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.Would you like me to optimize this further for a specific audience (e.g., for a LinkedIn job post, internal HR use, or a proposal to a client)?
The tone and structure can be fine-tuned accordingly.
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Unlock Your AI Infrastructure Potential: Insight & Career Growth Guide
Real-time AI Infrastructure Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Infrastructure in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3530 jobs in Singapore and 3285 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in AI Infrastructure roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Toss-Ex Pte Ltd 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: AI Infrastructure Engineer Jobs Singapore.
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:The average salary range for a AI Infrastructure Engineer Jobs Singapore 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.
Key qualifications for AI Infrastructure Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for AI Infrastructure Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview: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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