Staff AI Integration Engineer for Game AI

Software Engineering, Reinforcement Learning

Full Time

Location flexible (remote in US)

Position Summary

Sony AI America (SAIA) is seeking a highly motivated, self-driven AI Integration engineer with expertise in building and supporting AI research applications on games. We’re currently looking for smart, enthusiastic people who want to join our team of world-renowned researchers as we push the boundaries applying AI in support of human creativity. In this role, the successful candidate will build reusable AI infrastructure, integrate AI research with games, and orchestrate cloud infrastructure to support large scale machine learning in challenging domains like video games. Sony AI America is a remote-work organization – location is flexible.

Responsibilities

• Integrate AI agents with games
• Build tools for debugging and improving agents
• Support research experiments and analysis
• Proactively seek out engineering requirements of the research team
• Debug and fix performance bottlenecks
• Develop and maintain CI/CD best practices and continue to improve team processes
• Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above

Qualifications

• Bachelors or equivalent experience in computer science, software engineering, or related fields
• Experience with game engines such as UE, Unity, or other engine
• Experience with system design and architecture
• Experience with programming in python and C++
• Passion for making reliable, easy-to-use tools
• Excellent written and oral communication skills, as well as interpersonal skills including the ability to articulate to both technical and non-technical audiences
• 12+ years of experience in the field

Bonus points for

• Knowledge of tensorflow, jax, pytorch, and similar tools
• Knowledge of machine learning and reinforcement learning
• Experience with programming in rust
• Experience with distributed computing, high performance computing, and/or hardware acceleration

Working Location

Location flexible (remote in US)