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 optimizes Anthropic's inference engine—the software layer that manages how their Claude language model runs on accelerators and serves requests efficiently. It's ideal for systems engineers who enjoy performance optimization work across hardware, networking, and distributed systems.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
What they ask for
Required
- Understanding of LLM inference mechanics (prefill, decode, accelerator compute and memory)
- Systems programming proficiency in Rust, C++, or equivalent languages
- Performance analysis and profiling methodology
- Strong code quality and testing practices
- Ability to learn complex unfamiliar systems quickly and ship changes
Nice to have
- Experience optimizing an LLM serving engine
- GPU or accelerator programming
- Operating system internals
- Transformer-based language modeling
- Experience building allocators, caches, schedulers, or high-bandwidth transports
- Rust fluency
- Systems reproducibility work (determinism, replay, property-based testing)