Staff Platform Engineer - USA
Inworld AI
- Location
- United States of America
- Posted
Staff Platform Engineer at Inworld AI: Collaborate on cloud infrastructure & AI engine development
Remote Jobs
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Staff Platform Engineer - USA
Inworld AI
Job Location
Job Summary
Join Inworld AI as a Staff Platform Engineer and contribute to building, securing, and scaling their cutting-edge AI engine for games. Collaborate with backend and ML engineers to design, deploy, and maintain reliable cloud infrastructure using Terraform, ArgoCD, and other tooling. With 7+ years of experience in software engineering and proficiency in managing Kubernetes clusters, you'll play a pivotal role in shaping the company's operations and innovation. Inworld offers a dynamic team environment, flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. Apply now to join their team and shape the future of AI!
Why Join Inworld
Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures.
Inworld is the leading AI engine for games and interactive media. Inworld’s suite of AI components enables developers to build interactive, responsive, and personalized AI gaming experiences, orchestrate models to create intelligent game behaviors, and unlock enhanced productivity with AI-generated content. 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.
Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was also named among LinkedIn's Top Startups of 2024 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).
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.
