About the job
About Cartesia
At Cartesia, we are on a mission to create the next generation of artificial intelligence—smart, interactive systems that function seamlessly in any environment. Currently, the most advanced models struggle to process and analyze extensive streams of audio, video, and text over extended periods—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially when integrated directly on devices.
We are at the forefront of developing the model architectures that will enable this innovation. Our founding team, which originated from the Stanford AI Lab, is responsible for the creation of State Space Models (SSMs), a groundbreaking approach for training efficient, large-scale foundational models. Our team merges deep technical knowledge in model development and systems engineering with a product engineering group focused on design, allowing us to create and deliver pioneering models and user experiences.
Supported by top-tier investors such as Index Ventures, Lightspeed Venture Partners, and others, along with guidance from industry-leading advisors and over 90 angel investors, we are well-equipped to reshape the landscape of AI.
About the Role
We are seeking a skilled Software Engineer to join our team and help propel our vision of real-time, multimodal intelligence.
Your Impact
Develop and implement a low-latency, scalable, and dependable model inference and serving framework for our innovative SSM foundational models.
Collaborate with our research and product engineering teams to translate cutting-edge research into extraordinary products.
Establish robust, high-quality data processing and evaluation infrastructure for training foundational models.
Enjoy significant autonomy in shaping our product direction and influencing how advanced AI technologies are utilized across various devices and applications.
What You Bring
Given the complexity of the challenges we tackle, we prioritize strong engineering capabilities at Cartesia.
Proficient engineering skills with the ability to navigate intricate codebases and monorepos.
A keen eye for detail, ensuring the production of clean, maintainable code.
Adaptability to new technologies and quick proficiency with our tech stack, which includes Go and Python for backend development and Next.js for frontend.
Experience in building large-scale distributed systems that require high performance, reliability, and observability.

