Staff Software Engineer, Cloud AI Platform

Unity

Mountain View (CA)

On-site

USD 210,000 - 260,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
Stock options
Commuter subsidy
Retirement plan
Generous vacation
Parental leave
Office snacks
Mental health support
Employee resource groups
Training programs
Volunteer opportunities

Job summary

Unity is seeking a Staff Software Engineer for its Gaming AI team in Mountain View, CA. You will lead the delivery of cloud services and features powering our next-generation game creation platform.

You will work on frontend and cloud services, optimize performance, and shape technical direction in collaboration with AI, infrastructure, and data teams. Ideal candidates have a strong background in scalable cloud systems, full-stack experience, and hands-on use of AI development tools like Claude

Qualifications

  • Experience delivering scalable cloud services and cloud-based features.
  • Familiar with cloud service design patterns and archtecture patterns.

Responsibilities

  • Designing and delivering cloud-based services for the game creation platform.
  • Building front-end features as part of full-stack systems.
  • Optimizing cloud services for scalability and performance.
  • Applying cloud service design patterns to cloud applications.
  • Using Claude Code as part of daily engineering work.
  • DevOps work: CI/CD pipelines, monitoring, database maintenance.
  • Drive technical direction within the team and align with leadership.
  • Collaborate with AI, infrastructure, and data teams.

Skills

GCP services
Kubernetes / KCL
Cloud-based systems
Full-stack design
AI developer tools
DevOps / CI-CD

Tools

Claude Code
Kubernetes
GCP

Job description

Unity is seeking a Staff Software Engineer for its Gaming AI team in Mountain View, CA. You will lead the delivery of cloud services and features powering our next-generation game creation platform.

You will work on frontend and cloud services, optimize performance, and shape technical direction in collaboration with AI, infrastructure, and data teams. Ideal candidates have a strong background in scalable cloud systems, full-stack experience, and hands-on use of AI development tools like Claude

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