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Inference Engineer at Cartesia, San Francisco

cma9ja2 min read130

Looking for inference engineer jobs in San Francisco? Cartesia is hiring an Inference Engineer at its San Francisco headquarters.

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Inference Engineer Jobs in San Francisco: Overview

Job Title Inference Engineer
Employer Cartesia
Location San Francisco, CA
Salary $180,000–$250,000 per year
Job Type Full-time, On-site
Experience Strong engineering skills, experience with inference pipelines
Visa Sponsorship Visa sponsorship support assessed on a case-by-case basis
Closing Date Not specified in the available job information

About the Employer

Cartesia is an AI company whose mission is to architect AI that learns from and interacts with the world like humans do. The role is based at the San Francisco HQ.

Job Responsibilities

  • Design and build low-latency, scalable model inference and serving stacks
  • Work with Transformers, SSMs and hybrid models
  • Collaborate with research and product teams to serve products reliably
  • Optimise performance, reliability and observability of inference systems

Requirements

  • Strong engineering skills and ability to navigate complex codebases
  • Experience building large-scale distributed systems
  • Background in inference pipelines with machine learning and generative models
  • Preferable experience with vLLM, SGLang or CUDA/Triton

Visa Sponsorship and International Applicants

Cartesia provides visa sponsorship support and assesses each circumstance on a case-by-case basis. Sponsorship is not guaranteed for every candidate.

The company participates in E-Verify.

Salary and Benefits

  • $180,000–$250,000 per year
  • On-site in San Francisco
What you need to Know
Pros
  • Competitive salary range
  • On-site San Francisco role
  • Case-by-case sponsorship support
Cons
  • Sponsorship not guaranteed
  • Closing date not specified
  • Requires advanced inference experience

How to Apply

Apply through Ashby. A CV and relevant experience details are required.

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Apply to this Job

Application Tips

  • Highlight experience with inference frameworks and distributed systems

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