# Performance Engineer

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** DevOps / SRE
**Salary:** $280k – $850k/yr
**Skills:** Machine Learning, Gpu Programming, Distributed Systems, Ml Frameworks, Os Internals, Transformers, Kubernetes, Load Balancing, Performance Optimization, High-Throughput Systems
**Posted:** 2026-02-12

> Performance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.

## Job Description

## You may be a good fit if you:
- Have significant software engineering or machine learning experience, particularly at supercomputing scale
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to learn more about machine learning research
- Care about the societal impacts of your work

## Strong candidates may also have experience with:
- High performance, large-scale ML systems
- GPU/Accelerator programming
- ML framework internals
- OS internals
- Language modeling with transformers

## Representative projects:
- Implement low-latency high-throughput sampling for large language models
- Implement GPU kernels to adapt our models to low-precision inference
- Write a custom load-balancing algorithm to optimize serving efficiency
- Build quantitative models of system performance
- Design and implement a fault-tolerant distributed system running with a complex network topology
- Debug kernel-level network latency spikes in a containerized environment

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**Apply:** https://hotfix.jobs/jobs/2f854d35-4f6f-4256-8cfc-eab909438fde
**Canonical:** https://hotfix.jobs/jobs/2f854d35-4f6f-4256-8cfc-eab909438fde