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Lead development of VALORANT build and developer-facing platforms. Improve iteration workflows across local development, Unreal build/cook systems, CI, release infrastructure, and tooling. Drive architecture and long-term initiatives, resolve cross-system bottlenecks, collaborate with stakeholders, mentor engineers, and participate in support rotation.

As a Senior Software Engineer, you'll develop SDKs for multiple platforms, support Unreal plugins, enhance client performance, and work on technical solutions and release processes.

As an Influencer Manager II, you will curate and manage an influencer roster, lead campaigns, identify partnerships, and develop strategies to enhance creator engagement in a new game launch.

Lead design and build of shared backend platform services and internal tools for anti-cheat systems. Own APIs, ensure reliability, operate distributed high-availability services, improve CI/CD and observability, partner across teams for incident response, security, and platform reliability.

Lead prop art creation and manage external art vendors for an unpublished R&D game. Create high-quality prop assets, define workflows and quality standards, prepare asset briefs, track deliverables, troubleshoot pipeline issues, mentor artists, and collaborate with Art Direction, Environment Art, and Production to scale outsourced content while preserving visual cohesion.

As a Staff Software Engineer, you will design and build tools to improve infrastructure efficiency, collaborate with teams, and mentor less experienced engineers while driving improvements in coding standards and practices.

As an Engineering Manager for the VALORANT AI team, you will oversee a team of engineers, guide AI development, manage performance, and advocate for both players and developers.

As a Principal Technical Product Manager, you'll strategize AI/ML integration in Valorant, enhancing gameplay and operational outcomes through collaboration and influence across teams.

Architect, build, and operate ML inference and deployment infrastructure (model serving, orchestration, CI/CD, feature stores). Improve developer experience, optimize GPU/CPU scheduling and performance, and establish ML deployment best practices across Riot’s production ML ecosystem while shaping long-term platform direction.

Lead the integration of modern AI practices, provide mentorship, and develop scalable solutions across teams at Riot Games, focusing on enhancing their AI capabilities.