$280,000 – $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 focuses on optimizing machine learning performance on TPU and other accelerators, designing custom kernels, and solving low-level systems problems for research and production workloads. It suits engineers with deep experience in accelerator optimization and a passion for high-performance computing who want to directly impact large-scale AI infrastructure.
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
- Bachelor's degree or equivalent experience
- Experience optimizing ML systems for accelerators like TPU or GPU
- Ability to solve large-scale systems problems and low-level optimization
Nice to have
- High-performance large-scale ML systems experience
- Kernel design and implementation for ML accelerators
- Deep understanding of accelerator architecture
- ML framework internals knowledge
- Transformer language modeling experience
- Assembly-level kernel debugging