Inference Engineer
Cartesia · *HQ - San Francisco, CA
CHECKED 7H AGO
Applied AIonsite$180k–$250k
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