Forward Deployed Engineer

ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We’re hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesia’s core product into deployed, high-impact solutions. YOUR IMPACT - Write and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows. - Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements. Drive progress in ambiguity – Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways. - Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements. - Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.