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Niantic Spatial

Develops large-scale geospatial model for AR

Software Engineer - Infrastructure

Platform EngineeringUpdated on Nov 11
Full-time

About the Job

Requirements

  • At least 3 years of experience in infrastructure, site reliability engineering, DevOps, or platform engineering.
  • A bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience managing infrastructure as code with tools such as Terraform or Pulumi.
  • Production experience with GCP, AWS, or another major cloud provider.
  • Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar tools.
  • Production experience with containers and container orchestration, such as Kubernetes.
  • Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems.
  • Comfort using AI-assisted tools in engineering work, or a strong interest in building that habit.

Responsibilities

  • Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives.
  • Help run source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely.
  • Share on-call duties, take part in incident response and follow-up, and automate repetitive operational work.
  • Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team.
  • Help provision and monitor compute and GPU capacity across teams.
  • Use AI tools to help build, automate, and maintain infrastructure, and help shape how the team uses them.

Desired Qualifications

  • Familiarity with API gateways, load balancers, or CDNs.
  • Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM.
  • Experience with GPU workloads or machine learning infrastructure.
  • Experience with message queuing systems.

About the Company

Niantic Spatial

Develops large-scale geospatial model for AR

Niantic Spatial builds a Large Geospatial Model that uses a proprietary database of over 30 billion posed images to give machines and people a spatially grounded understanding of the real world. Its platform relies on a third-generation digital map with high fidelity to capture world content and enable new AR experiences. The product combines large-scale machine learning with geospatial data to connect scenes globally, supporting developers and businesses that want to add spatial intelligence to their apps through licensing and partnerships. Niantic Spatial differentiates itself by focusing on a globally connected, semantically rich spatial model and a strong developer ecosystem around AR and geospatial applications. The company aims to help customers build more capable spatial apps by providing advanced spatial reasoning, licensing its technology and collaborating through partnerships and events.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$550M
Headquarters
San Francisco, CA
Founded
2021

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