About Inworld
At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the multimodal models, pipelines and tools needed to build and evolve consumer-scale, real-time conversational AI applications across learning, health, social, assistants, games and media.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA.
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).
Experience with MLOps (huge plus!)
Work location: British Columbia, Canada.
The base salary range for this full-time position is CAD $150,000 - $240,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.
