Senior Software Engineer, Generative AI, Gaming

Google Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google Inc. in Bengaluru (India) seeks a Senior Software Engineer, Generative AI, Gaming, to lead development of a GenAI gaming platform and sub-second asset pipelines.

You will architect the breakthrough GenAI creation engine and drive production-ready deployments for scalable gameplay experiences. The role emphasizes bridging foundational research to real-time systems, building multi-agent playtesting harnesses, and optimizing models for low-latency, high-throughput environments across 2D

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Design industry-first evaluation suites and reward models to quantify game quality, balance, and core loop fun.
• Address spatial and interactive blind spots of LLMs by fine-tuning models with 3D mathematics and engine architectures.
• Drive rapid-iteration generative models for sub-second 2D sprite generation and 3D meshes using advanced diffusion techniques.
• Design multi-agent playtesting frameworks where AI agents simulate playthroughs to verify physics and gameplay.

Skills

Software development

Software testing

ML infrastructure

GenAI techniques

Software architecture

Education

Bachelor's degree

Job description

Senior Software Engineer, Generative AI, Gaming

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience deploying, serving, and optimizing generative AI models (LLMs, Vision-Language Models, or Diffusion Models) in high-throughput, low-latency production environments.
• Experience in adapting LLMs or foundational models to comprehend spatial environments, physical constraints (gravity, momentum, collisions), and material properties.
• Expertise in optimizing memory bandwidth, KV-caching, and token routing—specifically to support long-context, multi-agent game loops without latency spikes.
• Proven track record of engineering automated evaluation harnesses, reward models, or testing frameworks (e.g., LLM-as-a-judge, visual regression testing, RLHF) to benchmark model quality, latency, and performance.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are Machine Learning (ML) specialists powering a gaming platform, and we are on a mission to build YouTube for gaming. Just as YouTube democratized video creation and instant global sharing, we are building a platform where anyone can come in, effortlessly generate immersive playable games using Generative AI, and instantly share their creations with a global community of players.

This is a unique opportunity to build an innovative GenAI product from zero to one. We are looking for a highly motivated Generative AI Engineer to architect the breakthrough GenAI creation engine.

In this role, you will lead the technical transition from foundational research to real-time production, building sub-second 2D/3D asset pipelines, developing a specialized Foundation Gaming Language Model, and pioneering autonomous agentic playtesting harnesses.

Responsibilities

• Design industry-first evaluation suites and reward models (using RLHF and gameplay telemetry) to systematically quantify subjective game quality, balance, and core loop fun, while deploying autonomous multi-agent frameworks to playtest generated code and verify physical logic before release.
• Address the spatial and interactive blind spots of standard LLMs by fine-tuning models with deep domain knowledge in 3D mathematics, engine architectures and physical reasoning (gravity, momentum, collisions), building frictionless bridges directly into real-time render loops.
• Drive the foundational research and deployment of rapid-iteration generative models—leveraging distillation algorithms for sub-second, transparent 2D sprite generation and adaptive-resolution Diffusion Transformers (DiTs) to generate complex, fully rigged 3D meshes (using lossless O-Voxel representations).
• Design intelligent, multi-agent playtesting frameworks where AI agents simulate playthroughs of code and levels to rigorously verify physical logic, boundary constraints, and objective playability before release.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.