MP
$350,000 – $850,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
What they ask for
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