# Performance Engineer, Inference Systems

Hiring organization: [Menlo Ventures Portfolio](https://career.thegoodapps.co/organizations/menlo-ventures-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/c0815bee-0677-433a-b5ec-c93178ad3b20

Listed on Menlo Ventures Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Location: New York, NY
- Salary: 350000 – 850000 USD per year

## Summary

This role involves investigating and optimizing the performance of Anthropic's inference systems that serve Claude to millions of users, working across throughput, latency, reliability, and correctness. You'll analyze cross-layer bottlenecks, build observability tools, and partner with infrastructure teams to land high-impact optimizations in a complex production system.

_Our summary, not Menlo Ventures Portfolio's wording._

## Skills named

Pandas, Python, SQL

## Required

- Hands-on performance engineering experience with profiling and root-cause investigation
- Proficiency in Python for reading and contributing to large codebases
- Data analysis skills (SQL, pandas, or equivalent)
- Ability to communicate quantitative findings in writing
- Understanding of correctness as an engineering discipline

## Nice to have

- Experience with ML systems, inference infrastructure, or LLM serving stacks
- Familiarity with GPU/TPU/accelerator performance concepts
- Reliability engineering experience for high-throughput services
- Experience with model evaluation or numerical regression detection
- Experience building observability for distributed systems
- Comfort influencing through evidence rather than direct ownership

Apply on Menlo Ventures Portfolio's site: https://job-boards.greenhouse.io/anthropic/jobs/5224564008