Cartesia
AI
SoftwareEngineer,Platform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Platform at Cartesia. Skills: model inference and serving stack, data processing and evaluation infrastructure, large-scale distributed systems. 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”
What You'll Achieve.
advance our mission of building real-time multimodal intelligence; shape our products and directly impact how cutting-edge AI is applied across various devices and applications; execution speed is paramount; don’t sacrifice quality or design along the way
Industry & Context.
navigating complex codebases; diving into new technologies; adapt your skills to our tech stack; building large-scale distributed systems with high demands on performance, reliability, and observability; execute and deliver zero-to-one results amidst ambiguity
In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore, Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis.
What They're Looking For.
Must Have
engineering skills, comfortable navigating complex codebases and monorepos, An eye for craft and writing clean and maintainable code, 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
Nice to Have
Background in or experience working with machine learning and generative models
What You'll Do.
Design and build low latency
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
How You'll Work.
Team & Collaboration
Work closely with our research team and product engineers; hanging out together, and learning from each other every day; support each other
Process & Methodology
execute and deliver zero-to-one results amidst ambiguity
Full Job Description
ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. 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. ABOUT THE ROLE We're hiring a Software Engineer, Platform to advance our mission of building real-time multimodal intelligence. YOUR IMPACT - 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 YOU BRING 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
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