Staff Research Software Engineer, Google Research

Google Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Google Research Singapore invites applications for a Staff Research Software Engineer to advance AI capabilities and inference acceleration for large-scale models. You will lead algorithmic research and contribute to efficient AI systems in a fast-paced team.

You will collaborate across teams, publish results, and influence the direction of AI research in Singapore, focusing on performance, efficiency and deployment of Generative AI models.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with ML design and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design and implement novel algorithms that optimize inference for LLMs with high throughput and low latency.
• Develop and optimize low-level software and kernels for AI model inference across hardware and architectures.
• Co-design algorithms with hardware architects for next-generation systems.
• Amplify impact through publications and dissemination of research results.

Skills

Problem solving

Decision making

System design

Research leadership

Team collaboration

Education

Bachelor’s degree or equivalent practical experience

PhD in ML/AI/CS/Statistics/Applied Mathematics

Job description

Staff Research Software Engineer, Google Research

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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 or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• PhD in Machine Learning, AI, Computer Science, Statistics, Applied Mathematics, Data Science, or a related technical field.
• Experience in a university or industry labs, with primary emphasis on AI research.
• Deep understanding of transformer architecture internals.
• Deep understanding of Machine Learning (ML) systems, distributed systems, compilers, or performance engineering. Experience in high-performance computing, or AI inference optimization and hands-on experience with low-level compute frameworks.
• Strong publication record in top AI venues.

About the job

Google Research Singapore is the very latest addition to the Google Research presence around the globe. This is an incredible opportunity to be advancing the frontier of AI capabilities in Singapore. The team delivers research on algorithmic efficiency, and inference acceleration, directly impacting how next-generation AI models will be deployed to billions of people.

In this role, you will sit at the heart of advancing fundamental capabilities of Artificial Intelligence (AI) to drive significant benefits to humanity. You will have the chance to help build a team from the ground up. You will be pioneering AI research in Singapore, focusing on enabling the most performant, ultra-efficient and capable Generative AI Models. You will be making pioneering breakthroughs towards Computational Efficiency for serving and deployment of large-scale Generative AI Models (e.g., Large Language Models (LLMs), Diffusion Models, Generative Videos). You will be a technical leader of a small and agile team, in an extremely fast-paced environment in close collaboration with other teams at Google.

Responsibilities

• Design and implement novel algorithms that optimize the inference stack for LLMs to ensure the highest througput and lowest latency for billions of users including sampling techniques, speculative decoding advancements, model compression, knowledge distillation and quantization strategies.
• Work on development and optimization of the low-level software that runs AI models efficiently. Implement and optimize custom kernels for inference, focusing on improving latency, throughput, and memory usage, across different hardware and model architectures.
• Co-design algorithms that exploit the unique architectectural advantages of custom hardware and accelerators. Collaborate with hardware architects on next-generation systems and use a deep understanding of both model architecture and hardware to inform algorithm selection.
• Amplify impact and influence the research ecosystem through publications and scientific dissemination.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.