MP
$315,000 – $560,000
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 builds the computational infrastructure and tooling that lets researchers understand how large language models actually work internally, rather than treating them as black boxes. It's suited to experienced software engineers who want to work on AI safety through hands-on infrastructure work, enjoy translating research needs into systems, and are comfortable optimizing across the full stack from GPU kernels to user-facing tools.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5-10+ years building software
- Proficiency in at least one of: Python, Rust, Go, Java
- Productive with Python
- Ability to quickly learn unfamiliar technical domains
- Strong prioritization and ability to work with ambiguity
- Collaborative working style
- Bachelor's degree or equivalent
Nice to have
- Experience optimizing large-scale distributed systems
- Language modeling fundamentals with transformers
- High-performance LLM optimization (memory, compute efficiency, parallelism, throughput)
- Hands-on experience with PyTorch/CUDA on GPUs or JAX/XLA on TPUs
- Experience building tooling for research teams or conducting research with complex engineering challenges
- Background in interpretability or AI safety research