Cartesia

AI

SoftwareEngineer,Agents

$180–250k San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer, Agents at Cartesia. Skills: backend platform, distributed systems, realtime media pipelines, developer experience. Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together.. Take projects from spec to production: design, build, ship, monitor, iterate.”

What You'll Achieve.

shape the latency, reliability, and developer experience of every agent built on Cartesia

Industry & Context.

AI
Problems you'll solve

architect AI; Make the architectural calls; clearly articulate the tradeoffs

Eligibility Requirements

visa sponsorship support

What They're Looking For.

Must Have

3+ years building distributed backend systems in production, product instincts for platform work, Second-order thinking about backend architecture, Fluent, day-to-day use of AI coding tools, A communicator with both technical and non-technical

Nice to Have

Experience with Go and/or Python in a backend platform context, Realtime media systems in production (WebRTC, SIP, RTP, low-latency audio), Deep experience with cloud and infra primitives (Kubernetes, Docker, NATS, gRPC, OpenTelemetry and modern observability stacks), Distributed systems at scale dealing with non-trivial throughput, autoscaling, multi-region architectures, Voice agents or agent framework experience (Pipecat, LiveKit, OpenAI Agents SDK, Claude SDK, Vercel AI SDK)

What You'll Do.

Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers

and the realtime media pipelines that tie them together.

Take projects from spec to production: design

Make the architectural calls that compound over time — latency budgets

scaling primitives — and clearly articulate the tradeoffs.

Define the developer experience for engineers building on Cartesia: APIs

and applied evaluations.

How You'll Work.

Team & Collaboration

contributing actively in design reviews; hanging out together; learning from each other every day; support each other

Communication Scope

communicator with both technical and non-technical; comfortable writing clear specs; contributing actively in design reviews; clearly articulate the tradeoffs

Process & Methodology

Take projects from spec to production

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 Cartesia is hiring a Software Engineer, Agents to build the backend platform behind Line, our voice agents product. The Agents stack — a Go API with Python workers — is what customers rely on to run real-time, production-grade voice agents. You'll own backend work end-to-end and directly shape the latency, reliability, and developer experience of every agent built on Cartesia.   YOUR IMPACT - Build and operate the distributed systems behind Cartesia's voice agents: load balancing servers, workers, and the realtime media pipelines that tie them together. - Take projects from spec to production: design, build, ship, monitor, iterate. - Make the architectural calls that compound over time — latency budgets, reliability targets, scaling primitives — and clearly articulate the tradeoffs. - Define the developer experience for engineers building on Cartesia: APIs, observability, and applied evaluations.   WHAT YOU BRING - 3+ years building distributed backend systems in production, ideally at a high-growth startup. We care more about what you've shipped than strict YOE. - Strong product instincts for platform work -

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