Weekday 1·13 days ago
This role is for one of the Weekday's clients
Min Experience: 4 years
Location: Bay Area, North America, Europe
JobType: full-time
We’re building the foundational data infrastructure for an edge-first world—where intelligence lives not in distant clouds but across billions of devices, vehicles, robots, and satellites. AI is moving closer to where data is created, enabling compute that is instant, private, and verifiable. Yet the edge remains fragmented, forcing developers to trade off performance for convenience, privacy for usability, and autonomy for control.
As a Lead Edge AI Engineer, you will own the edge-AI engineering roadmap and make developing at the edge as natural and powerful as building in the cloud. You’ll design the systems that let developers deploy, orchestrate, and verify AI models across edge environments—from federated learning and on-device inference to adaptive compute pipelines on heterogeneous hardware.
This role sits at the intersection of distributed systems, AI infrastructure, and edge computing, combining model execution, verifiable computation, and developer experience. You’ll work closely with research, product, and infrastructure teams to define standards for how AI operates in decentralized, privacy-preserving networks.
Responsibilities
Requirements
Why This Role Matters
This is a rare opportunity to define the foundation for edge-native AI. You’ll shape how intelligence operates across billions of devices—from chips to constellations—building deep infrastructure that enables verifiability, privacy, and autonomy in AI systems. If you’ve ever wanted to create the data layer powering the edge-first future of AI, this is your chance.
Skills
Lead Edge AI Engineer, Rust, Go/Golang, Python, C++, Distributed Systems, Federated Learning, Edge Computing