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# Performance Engineer

- **Company:** Anthropic Limited
- **Location:** New York, NY, United States
- **Salary:** $280,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Complex Networks, Computer Programming, Software Debugging, Distributed Systems, Fault Tolerance, Machine Learning, Language Modeling, Pair Programming, Software Engineering, Large Language Models, Machine Learning Operations
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/performance-engineer-new-york-ny--b2ab0cd3-cda3-4d23-a6db-84d050a0688a

## About the Role

Performance Engineering, Artificial Intelligence (AI), Algorithms, Performance Engineering, Distributed Computing, Machine Learning, Large-Scale Systems, Identify Issues, Problem Solving Skills, Software Engineering, * 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, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

## Description

Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also., 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