About the job
About Cartesia
At Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive intelligence that is accessible and effective in any environment. We have identified a gap in current AI capabilities; existing models struggle to continuously process extensive streams of audio, video, and text data. Our vision is to bridge this gap by developing pioneering model architectures.
Founded by PhD experts from the Stanford AI Lab, we are the creators of State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. Our team merges profound expertise in model innovation with systems engineering and product design to deliver advanced models and user experiences.
Backed by leading investors such as Index Ventures and Lightspeed Venture Partners, along with an array of esteemed advisors, we are well-positioned to push the boundaries of AI.
About the Role
We are seeking a talented Software Engineer specializing in database systems to architect and scale Cartesia’s data infrastructure. You will play a crucial role in implementing robust data governance and developing user-friendly, secure database tools that empower both engineers and non-engineers.
Your Impact
Design and enhance database platforms to ensure scalability to over 100 times current capacity while maintaining uptime, latency, and accuracy.
Construct data storage architectures that function seamlessly across various environments including AWS, GCP, on-premises systems, and third-party deployments.
Facilitate accelerated development across the organization by providing high-quality database tools and resources to both technical and non-technical users.
Implement secure access control mechanisms to ensure sensitive data is restricted to authorized personnel only.
Develop scalable data governance systems focused on permissions, auditing, and compliance, utilizing IAM policies, ACLs, and security controls across a large user base.
What You Bring
Expertise with cloud services such as AWS, GCP, or Azure, along with experience using infrastructure-as-code tools like Terraform.
A proven history of managing database systems during periods of rapid growth in dynamic environments.

