Cartesia

Cartesia

Inference Engineer

*HQ - San Francisco, CA

Sponsorship not specifiedDetected 587 days ago
Distributed SystemsDatabricksMachine LearningNLPSystems EngineeringResearchLeadership

About the role

  • Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.
  • Have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.

Responsibilities

  • Design and build robust inference infrastructure and monitoring for our products.
  • 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.
  • 🦖 Your own personal Yoshi

Requirements

  • Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks.
  • Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
  • 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.
  • 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 working in CUDA, Triton or similar
  • Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
  • 🏢 In-office policy: We're an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
  • 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
  • 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way.

Skills

  • Strong engineering skills, comfortable navigating complex codebases and an eye for writing clean and maintainable code.

Compensation

  • 💰 Compensation Competitive base salary alongside attractive equity package.

Benefits

  • 💰 Compensation Competitive base salary alongside attractive equity package.
  • 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
  • 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
  • 🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
  • 🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
  • We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Company info

  • We're hiring an Inference Engineer to advance our mission of building real-time multimodal intelligence.
  • Our mission is to architect AI that learns from and interacts with the world like humans do.

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • We provide visa sponsorship support and assess each circumstance on a case-by-case basis.
  • However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success.
  • Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
Apply directly at Cartesia →Create a free account for alerts like thisView Cartesia immigration profile

This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.