Lead Edge AI Engineer

Location: Remote (Must be based in NA)

$200,000 – $300,000 + equity

We’re working with a venture-backed technology company building foundational infrastructure for an edge-first AI world - where intelligence runs directly on devices, vehicles, robots, and satellites, not in distant cloud data centers.

Their mission is to make edge-native AI private, verifiable, collaborative, and resilient by design. Instead of centralized control, they’re enabling AI systems that can train, adapt, and operate across distributed environments - even when the cloud is unavailable.

This is deep, systems-level work at the intersection of edge computing, AI infrastructure, and distributed systems, backed by real-world deployments rather than prototypes or slide decks.

As Lead Edge AI Engineer, you’ll own the edge-AI engineering roadmap and help define how AI is developed, deployed, and verified across decentralized environments.

You’ll design and build systems that enable:

• On-device inference and local training
• Federated and collaborative learning across devices
• Adaptive compute pipelines on heterogeneous hardware

This is a senior, hands-on technical leadership role with real influence over architecture, standards, and developer experience.

What You’ll Do

• Architect and prototype edge-AI pipelines for training, inference, and cross-device collaboration
• Build developer-facing APIs and SDKs that hide distributed complexity behind elegant abstractions
• Optimize performance across constrained and diverse hardware (GPUs, NPUs, embedded accelerators)
• Integrate AI workloads with privacy-preserving and verifiable computation frameworks
• Partner closely with product, research, and infrastructure teams to shape the edge-AI developer experience
• Mentor engineers and help define a culture focused on precision, performance, and trust

What We’re Looking For

• Deep experience deploying AI/ML systems in real-world edge environments
• Strong proficiency in Rust, Go, C++, or Python
• Solid understanding of distributed systems, federated learning, or privacy-preserving AI
• Experience working with edge compute constraints and hardware runtimes
• Background in a startup or scale-up environment
• Proven track record delivering complex systems end-to-end
• Strong curiosity around verifiable computing, zero-trust architectures, and data-centric AI
• First-principles thinker who wants to build infrastructure that lasts decades

Why This Role Stands Out

• Build core infrastructure that defines how edge-native AI works globally
• Influence systems that may run across billions of devices
• Work with a small, elite engineering team on genuinely hard problems
• High-impact role with technical ownership and strategic influence
• Competitive compensation with meaningful equity upside

If you’re driven by first principles, real technical ownership, and genuinely cutting-edge problems at the frontier of AI and distributed systems, this is the role for you.

Take the next step in your career and apply today!

5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.