Mountain View, California, USA Staff / Principal Platform Engineer - USA

Realtime TTS-2 is live, and we cut prices in half or more for most developers, across the whole stack. Try the live demo Read the TTS-2 launch See the cost reductions Staff / Principal Platform Engineer - USA Mountain View, California, USA About Inworld Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the‑art models, optimizing realtime inference, and creating best‑in‑class APIs and products that allow developers to engage their users. 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. About the role Join our team as a Staff / Principal Platform Engineer and take end-to-end ownership of building, securing, and scaling our AI products. You'll be the driving force behind our cloud infrastructure, partnering with engineers across the organization to deploy and evolve services across major cloud providers using Terraform, ArgoCD, and other tooling. In this high-impact role, you'll identify what needs to be done and move it forward, directly shaping how we operate and innovate. What you’ll do Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our TTS and LLM Router. Drive engineering velocity by identifying and building AI-powered tooling and workflows that improve how our teams develop and deploy software. 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 pipelines to ensure smooth and efficient code integration and deployment. Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence. Expected experience 8-10 years of experience in software engineering. 3+ 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 #J-18808-Ljbffr Inworld AI