D24 Search is a VC backed startup that builds edge-native data infrastructure for AI applications. The Lead Edge AI Engineer will architect systems for edge AI deployment and lead an engineering team to develop tools that simplify AI integration on edge devices.
Responsibilities:
- Architect and prototype edge-AI pipelines, enabling local training, inference, and cross-device collaboration
- Build developer-friendly APIs, SDKs, and tooling to make our tech stack work for edge AI applications
- Scale and lead a high-performing, autonomous team of up to 8 engineers, fostering a culture of ownership and innovation
- Collaborate with partners and customers in industries like oil & gas and satellite communications to understand their needs and shape the product roadmap
- Integrate edge-first data flows with privacy-preserving and verifiable computation frameworks, including ZK-proofs
Requirements:
- Proficient in Go, Rust and Python
- 2 - 3 years of experience in Managing autonomous/startup style engineering teams
- Familiarity with edge environments (not cloud-only): IoT devices, local environments, or hardware-level software
- Polyglot ability: Comfortable learning and working with multiple languages based on problem requirements
- Experience building and scaling teams of at least 10 engineers
- Product-minded: Can prioritize features based on stakeholder conversations, not just execute assigned tasks
- Curiosity for verifiable computing, zero-trust architectures, and data-centric AI design
- Leadership style: Must be comfortable with team autonomy, treating team like a startup, not expecting to be told what to do
- North America location strongly preferred (Toronto or California ideal)