Software Engineer, India

ABOUT CARTESIA 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 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. Role responsibilities We're opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence. In this role, you'll: - Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models - Work closely with our research team and product engineers to translate cutting edge research into incredible products - Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications. What we're looking for Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia. - Strong engineering skills, comfortable navigating complex codebases and monorepos. - An eye for craft and writing clean and maintainable code. - You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend). - Experience building large-scale distributed systems with high demands on performance, reliability, and observability. - Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. - [bonus] Background in or experience working with machine learning and generative models. Even if you don't meet every requirement above, we'd encourage you to apply. Our culture 🏢 We're an in-person team based out of San Francisco and Bangalore. We love being in the office, hanging out together and learning from each other everyday. 🚢 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 and design along the way. 🤝 We support each other. We have an open and inclusive culture that's focused on giving everyone the resources they need to succeed. Our perks 🍽 Lunch, dinner and snacks at the office. 🏥 Stipend to cover medical insurance 🦖 Your own personal Yoshi.

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 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.