Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.
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.
We’re hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.
Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure
Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of
Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives
Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area
You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally
Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of
Proficiency in Go and/or Python
You think in terms of long-term maintainability and modularity
You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements
Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening
🍽 Lunch, dinner and snacks at the office.
🏥 Fully covered medical, dental, and vision insurance for employees.
🏦 401(k).
✈️ Relocation and immigration support.
🦖 Your own personal Yoshi.
🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
cartesia