Why Join Inworld
Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors like Intel, Microsoft, Lightspeed, Bitkraft, Founders Fund, Kleiner Perkins, and more. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world and was nominated alongside Anthropic, DeepMind, OpenAI and Nvidia for Generative AI Innovator of the Year at the VentureBeat Awards 2023.
Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games, and Unity.
Join our dynamic team as a Compute Platform Engineer and play a pivotal role in building, securing, and scaling our cutting-edge AI engine for games. Collaborate with backend and ML engineers to plan, deploy, and maintain services across major cloud providers using Terraform, ArgoCD and other tooling. As part of our small, collaborative team, your contributions will significantly shape our operations and innovation.
What you’ll do
- Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio.
- Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services.
- Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment.
- Identify and implement opportunities to enhance engineering speed and efficiency.
- Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence.
- Develop and share best practices to improve automation and efficiency across our engineering teams.
Expected experience
- 7 years of experience in software engineering.
- 5 years of experience with infrastructure-as-code.
- Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications.
- Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.).
- Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud).
- Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash.
- Experience with GPUs (optional).
The US base salary range for this full-time position is $180,000 - $280,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.