Lead Edge AI Engineer

Weekday (YC W21)

full-time

Posted on: 1/14/2026

Location Type: Remote

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About the role

Architect and prototype edge-AI pipelines enabling local training, inference, and cross-device collaboration.
Build developer-friendly APIs and SDKs that abstract distributed complexity into efficient, elegant experiences.
Optimize performance across constrained and diverse hardware—including GPUs, NPUs, and embedded accelerators.
Integrate edge-first data flows with privacy-preserving and verifiable computation frameworks.
Collaborate with product, research, and infrastructure teams to shape the developer experience for edge-native AI.
Mentor engineers and help build a culture focused on precision, performance, and trust.

Deep experience in AI/ML systems and model deployment in real-world edge environments.
Strong proficiency in Rust, Go, C++, or Python.
Familiarity with distributed systems, federated learning, or privacy-preserving AI.
Understanding of edge compute hardware and runtime constraints.
Experience in a startup or scale-up environment.
Proven track record of delivering complex distributed or AI systems end-to-end.
Curiosity for verifiable computing, zero-trust architectures, and data-centric AI design.
A first-principles mindset—you care about building foundational systems that last decades.

Tip: use these terms in your resume and cover letter to boost ATS matches.

AI/ML systemsmodel deploymentRustGoC++Pythondistributed systemsfederated learningprivacy-preserving AIedge compute hardware

mentoringcollaborationcuriosityfirst-principles mindset