Remote Inference Optimization Engineer

Modular Mailing Systems, Inc.

Los Altos (CA)

Hybrid

USD 198,000 - 286,000

Full time

14 days+
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Benefits offered by this job

Premier insurance plans
5% 401k matching
Flexible paid time off
Stock options
Team building events

Job summary

Modular Mailing Systems, Inc. is seeking an experienced Performance Engineer to optimize LLM inference on their cloud platform. This pivotal role involves building optimization infrastructures and collaborating with teams to enhance performance across GPUs and ASICs.

The ideal candidate will have over 5 years of experience in distributed systems, a track record in software tools development, and a collaborative mindset. Flexible hybrid work options are available. Exceptional benefits and competitive compensation packages are also included.

Qualifications

  • 5+ years of experience in distributed systems or performance engineering.
  • A track record of building reusable software tools and libraries.
  • Creativity and curiosity in solving complex problems.

Responsibilities

  • Build the optimization platform for LLMs on Modular Cloud.
  • Shape technical direction for LLM performance.
  • Partner with GTM team to deliver customized LLM inference.
  • Publish blog posts on LLM inference optimization.

Skills

Distributed systems
Performance engineering
Software tools development
Technical leadership
Complex problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes
Cloud native technologies

Job description

Modular Mailing Systems, Inc. is seeking an experienced Performance Engineer to optimize LLM inference on their cloud platform. This pivotal role involves building optimization infrastructures and collaborating with teams to enhance performance across GPUs and ASICs.

The ideal candidate will have over 5 years of experience in distributed systems, a track record in software tools development, and a collaborative mindset. Flexible hybrid work options are available. Exceptional benefits and competitive compensation packages are also included.

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