Software Engineer, Cloud AI/ML, GPUs
1 day ago
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 or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with data structures or algorithms. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with large-scale Cloud Infrastructure. Ability to communicate in English and Mandarin fluently to support client management in this region. About the job The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. Our core mission is to empower Google Cloud's training and inference customers by providing unparalleled computational resources. We're responsible for the entire lifecycle of GPU offerings within Google Cloud, from the initial launch of new GPU families to ensuring their optimal reliability and operational excellence for AI workloads. As a Software Engineer, you will develop the next-generation technologies that change how users connect, explore, and interact with information and one another. You will bring ideas from all areas, including distributed computing, large-scale system design, networking and data storage, artificial intelligence, etc. As a software engineer in the Cloud GPU team, you will focus on delivering tangible growth in the AI infrastructure space. The team works at the intersection of hardware, software, data science and applied AI, constantly pushing the boundaries of what's possible in accelerated computing. We collaborate closely with internal and external partners to deliver the foundational infrastructure that fuels advancements in artificial intelligence across industries. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr
-
Software Engineer, Cloud AI/ML, GPUs
2 weeks ago
Singapore Google Full timeJob description The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. Our core mission is to empower Google Cloud's training and inference customers by providing unparalleled computational resources. We're responsible for the entire lifecycle of GPU offerings within Google Cloud,...
-
Singapore Google Full timeSenior Software Engineer, AI/ML Infrastructure, GPU Join to apply for the Senior Software Engineer, AI/ML Infrastructure, GPU role at Google Google will prioritize applicants who have a current right to work in Singapore and do not require sponsorship of a visa. Minimum qualifications: Bachelor’s degree in Computer Science or equivalent practical...
-
Singapore Google Full timeSenior Software Engineer, AI/ML Infrastructure, GPU Join to apply for the Senior Software Engineer, AI/ML Infrastructure, GPU role at Google Google will prioritize applicants who have a current right to work in Singapore and do not require sponsorship of a visa. Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience....
-
Singapore Google Full timeNote: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Software Engineering Manager, AI/ML Platform, GPU About The Job The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. Our core mission is...
-
Singapore Google Full timeNote: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa. Software Engineering Manager, AI/ML Platform, GPU About The Job The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. Our core mission is...
-
DevOps Engineer – AI Infrastructure
2 weeks ago
Singapore RAYDIAN CLOUD PTE. LTD. Full time $120,000 - $200,000 per yearAbout the RoleRaydian Cloud is seeking a forward-thinking DevOps Engineer to help build and scale infrastructure that powers cutting-edge AI workloads. You'll work at the intersection of cloud-native technologies and Artificial Intelligence operations (AIOps), enabling high-performance, secure, and automated environments for AI development and deployment....
-
Fullstack Software Engineer
2 weeks ago
Singapore Snaphunt Pte Ltd Full timeCompany Snaphunt Pte Ltd Designation Fullstack Software Engineer (AI/ML) Date Listed 24 Sep 2025 Job Type Entry Level / Junior Executive - Full/Perm Job Period Immediate Start, Permanent Profession IT / Information Technology Industry Computer and IT Location Name Singapore Allowance / Remuneration $8,000 monthly Company Profile The...
-
Cloud DevOps Engineer #generalinternship
6 days ago
Singapore Singtel Full time**Cloud DevOps Engineer #GeneralInternship**: **Date**:3 Sept 2025 **Location**: Singapore, Singapore **Company**:Singtel Group As an **DevOps Engineer Intern** for SingTel’s GPU Cloud, you will help in implementing processes and integration of operations to advance customer’s AI and HPC capabilities. You will be exposed to both physical data center...
-
Fullstack Software Engineer
1 week ago
Singapore a Snaphunt Client Full timeOverview The company is a global leader in cybersecurity, shaping the future of a cloud-centric world. Role We are looking for a Fullstack Software Engineer with proven experience in AI/ML development to design, build, and scale intelligent software solutions that power our next-generation cybersecurity products. You will work closely with product managers,...
-
Ai/ml Engineer Role
6 days ago
Singapore TECHCOM SOLUTIONS (SINGAPORE) PTE. LTD. Full time**Detailed JD (Roles and Responsibilities)** **AI/ML engineer role -** Implement model training and serving pipelines at scale (GPU), model API, containerization - Python / Scikit-learn / Pytorch / Tensorflow / LLM Hugging Face / Azure ML / Azure AI / (optional) Databricks / MLOps (CI/CD, Versionning, Artifact repo, Logging etc.) **Mandatory...
