About the role
TL;DR
Develop edge AI infrastructure and tooling for high-cost-of-failure verticals.
- •Build the software and tooling layer that makes edge hardware usable for AI applications.
- •Key Responsibilities Develop frameworks that abstract across platforms for edge AI.
- •Create memory managers that optimize dynamically for edge devices.
- •Implement observability stacks to monitor deployed models on edge devices.
- •Design hardware-agnostic frameworks for edge inference.
- •Optimize memory architectures for edge workloads.
- •Requirements Experience shipping inference at the edge.
- •Expertise in memory management, latency, and platform lock-in issues.
- •Ability to attract, hire, and lead world-class teams.
- •Demonstrated passion for technology's ability to change the world.
- •Desire to be a venture-backed founder.
Required skills
TensorFlowPyTorchscikit-learnKubernetesDockerCI/CDEngineering Management
Domain expertise
developer-toolsai
Benefits & perks
equity
Tech stack
TensorFlowPyTorchscikit-learnKubernetesDockerCI/CD
