Gameplay Engineer

On-site in London·Added 1 month ago

Google

168 open roles

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Overview

Requirements

Work on-site in London
No relocation package mentioned.
Have 5+ years of experience
Mid-level role.

Skills

Nice to have

Requirements

Minimum qualifications:

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
5 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript).
Experience working with cross-functional partners (game designers, artists, or producers) to scope and unblock features.
Experience architecting core gameplay mechanics, custom tooling, or greenfield technical systems from scratch.
Experience in commercially shipping or publicly releasing a game across its full lifecycle (prototype to release).

Preferred qualifications:

Experience training ML models or integrating generative AI into consumer-facing products.
Experience building high-performance web front-ends or interactive browser-based experiences.
Practical knowledge of modern game engines like Unreal, Godot, Unity or proprietary internal frameworks.
A track record of contributing to open-source projects or innovative technical experiments.

The role

As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to show what is possible when generative models and agentic workflows become core mechanics.

You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics.
Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines.
Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models.
Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects.
Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.