Software Engineer, Cloud AI/ML, GPUs
Job Description
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. Location: Singapore. Experience level: Early. 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 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.
Locations
- Singapore, Singapore
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
120,000 - 180,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate (programming)
- Cintermediate (programming)
- C++intermediate (programming)
- Javaintermediate (programming)
- JavaScriptintermediate (programming)
- data structuresintermediate (computer science)
- algorithmsintermediate (computer science)
- large-scale Cloud Infrastructureadvanced (cloud computing)
- machine learningadvanced (AI/ML)
- distributed computingintermediate (systems)
- large-scale system designintermediate (systems)
- networkingintermediate (systems)
- data storageintermediate (systems)
Required Qualifications
- Bachelor’s degree (degree in Computer Science)
- software development (experience, 1 years)
- data structures or algorithms (experience, 1 years)
- Master's degree or PhD (degree in Computer Science or related technical field)
- large-scale Cloud Infrastructure (experience)
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.
Benefits
- equal opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity.
Documents
Application Instructions
Apply through the Google Careers portal. Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.