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← Cartesia

Inference Engineer

Cartesia · *HQ - San Francisco, CA

CHECKED 7H AGO

Applied AIonsite$180k–$250k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build low-latency, scalable inference stack for cutting-edge foundation models.
  • Advance real-time multimodal intelligence used across devices and applications.
  • Own robust inference infrastructure and monitoring for fast, reliable products.

What they offer

  • Competitive base salary and equity package
  • Fully covered medical, dental and vision for you and family
  • 9 weeks paternity and 12 weeks maternity leave
  • 401(k) plan
  • Monthly commuter allowance
  • Flexible PTO
  • Daily lunch, dinner and snacks

Ideal candidate

A strong systems-minded engineer who thrives in ambiguity and loves shipping fast, reliable zero-to-one infrastructure that brings cutting-edge AI to real products.

Requirements

  • Strong engineering skills, comfortable navigating complex codebases and writing clean, maintainable code
  • Experience building large-scale distributed systems with high demands on performance, reliability and observability
  • Technical leadership with ability to execute and deliver zero-to-one results amidst ambiguity
  • Background in or experience working on inference pipelines with machine learning and generative models
  • Experience implementing state of the art machine learning models and research to applied problems
  • Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks
  • Preferable: experience working in CUDA, Triton or similar
remote policy
In-person, in-office team
visa sponsorship
Visa sponsorship support available, assessed case-by-case

Lab profile

About Cartesia

Architects efficient State Space Model foundation models for human-like real-time AI interaction.

Known for

  • State Space Models (SSMs)
  • Efficient large-scale foundation models
  • Model innovation and systems engineering
More about Cartesia →
Apply on the lab’s site ↗