AI Infrastructure Engineer
2 weeks ago
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. #J-18808-Ljbffr
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Lead AI Infrastructure Engineer
1 week ago
Singapur, Singapore Thoughtworks Inc. Full timeThoughtworks Singapore will be shortlisting applicants who have a current right to work in Singapore i.e. Singapore Citizens and Singapore Permanent Residents only. At Thoughtworks, Lead AI Infrastructure Engineers design and maintain high-performance, scalable, and resilient infrastructure for modern AI workloads. You’ll focus on enabling advanced...
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Artificial Intelligence Jobs
19 hours ago
Singapur, Singapore Cyber Infrastructure (P) Limited Full timeAI Engineer About Company Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in...
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Singapur, Singapore Grab Full timePrincipal Machine Learning Engineer, AI Platform – AI Infrastructure Grab is Southeast Asia's leading superapp that delivers everything from meals to finances and local mobility. We harness technology and AI to empower people economically while staying true to heart, hunger, honour, and humility. As a Principal Machine Learning Engineer focused on AI...
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Singapur, Singapore PLT Engineering Full timeGet to Know the Team The AI Platform team empowers Grab teams to leverage advanced AI seamlessly and effectively. We're building cutting-edge tools and infrastructure to democratize AI capabilities, accelerate innovation, and enhance Grab's products and services at scale. Get to Know the Role As a Principal Machine Learning Engineer focused on AI...
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Singapur, Singapore GRABTAXI HOLDINGS PTE. LTD. Full timeCompany Description About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to...
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Cloud Infrastructure Engineer
3 weeks ago
Singapur, Singapore Tap Growth ai Full timeWe are hiring: Cloud Infrastructure Engineer. We are looking for a skilled and experienced Cloud Infrastructure Engineer to join our dynamic team in Singapore. The ideal candidate will have a strong background in cloud technologies, infrastructure management, and a passion for optimizing cloud environments to ensure seamless operations. Location Singapore,...
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Singapur, Singapore Home Team Science and Technology Agency (HTX) Full timeWhat the role is: HTX is the world’s first Science and Technology agency for Public Safety and Security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, our shared mission is to amplify, augment and accelerate the Home Team’s advantage in securing Singapore as the safest place on planet earth. The jobholder will be...
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Singapur, Singapore Google Full timeJoin to apply for the Director, Customer Engineering, AI Infrastructure, Google Cloud, APAC role at Google Google will be prioritizing applicants who have a current right to work in Singapore and do not require Google’s sponsorship of a visa. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, a related technical field or...
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Singapur, Singapore Google Inc. Full timeApply Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent practical experience. 15 years of experience in a customer-facing technical role (e.g., customer engineering, solutions architecture or consulting). 10 years of experience in developing AI concepts, technologies and platforms, including machine learning...
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Singapur, Singapore Google Inc. Full timeApply Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent practical experience. 15 years of experience in a customer-facing technical role (e.g., customer engineering, solutions...
