About the job
About Cartesia
At Cartesia, we are on a mission to revolutionize AI by creating interactive intelligence that is seamlessly integrated into your daily life. Currently, existing models struggle to continuously analyze vast streams of audio, video, and text data—encompassing 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—let alone processing this data on-device.
Our innovative team, consisting of PhD experts from the Stanford AI Lab, has pioneered State Space Models (SSMs) as a new foundation for training efficient, large-scale AI models. We pride ourselves on our deep expertise in model innovation and systems engineering, combined with a design-focused product engineering team that develops and delivers cutting-edge models and user experiences.
Supported by prominent investors like Index Ventures and Lightspeed Venture Partners, alongside Factory, Conviction, A Star, General Catalyst, and SV Angel, we benefit from the insights of leading advisors and over 90 angels from various industries, including some of the most respected figures in AI.
About the Role
We are seeking an Enterprise Engineer to help propel our mission of creating real-time multimodal intelligence through the deployment of agile voice AI solutions for our customers.
Your Impact
Design and construct enterprise-grade systems, including On-Premise Deployments and Agent Infrastructure.
Take ownership of creating and implementing robust platform capabilities tailored to enterprise requirements—focusing on the abstractions, core modifications, and infrastructure that support Cartesia's largest clients.
Transform recurring deployment patterns (including gaps, incident themes, and evaluation results) from temporary solutions into scalable, long-term platform features.
Establish and elevate standards for reliability, security, and operational excellence across Cartesia's enterprise interface.
You will have substantial responsibility over core capabilities that will determine Cartesia's scalability within the most challenging enterprise environments worldwide.
What You Bring
Solid backend engineering expertise—you have designed and implemented infrastructure, platform services, or foundational abstractions utilized by other teams.
Proficiency in Go and/or Python programming languages.
You prioritize long-term maintainability in your design and coding practices.

