Low-Latency AI Platform Engineer

Cartesia AI, Inc.; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

401(k)

Commuter Allowance

Flexible PTO

Job summary

Cartesia AI, Inc. in San Francisco is seeking a Software Engineer, Platform to advance our mission of real-time multimodal intelligence.

You’ll design and build a scalable inference and serving stack for our SSM foundation models and partner with research and product teams to translate cutting-edge research into impactful products. The role offers significant autonomy to shape our platforms, with exposure to large-scale distributed systems, high performance requirements, and a culture that

Qualifications

• Strong engineering skills, comfortable navigating complex codebases and monorepos.
• An eye for craft and writing clean and maintainable code.
• Diving into new technologies and adapting your stack (Go, Python, Next.js).
• Experience building large-scale distributed systems with performance, reliability, and observability.
• Technical leadership with the ability to execute and deliver in ambiguity.
• Bonus: background in machine learning or generative models.

Responsibilities

• Design and build low latency, scalable inference and serving stack for our SSM foundation models.
• Collaborate with research and product teams to translate research into products.
• Build high-quality data processing and evaluation infrastructure for model training.
• Enjoy significant autonomy to shape our products and influence AI deployment across devices and applications.

Skills

Distributed systems

Technical leadership

Clean code

Adaptability

ML/generative models (bonus)

Tools

Go

Python

Next.js

Monorepos

Job description

Cartesia AI, Inc. in San Francisco is seeking a Software Engineer, Platform to advance our mission of real-time multimodal intelligence.

You’ll design and build a scalable inference and serving stack for our SSM foundation models and partner with research and product teams to translate cutting-edge research into impactful products. The role offers significant autonomy to shape our platforms, with exposure to large-scale distributed systems, high performance requirements, and a culture that