Technical Lead

Note

Technical Lead - AI Systems / Edge Computing / Embedded Intelligence

redefine how machines think, communicate, and collaborate.

AI, embedded systems, and connected mobility

If you’ve ever dreamed of building technology that makes the world think, not just move, this is your calling.

About the Mission

next-generation AI system

technical architect

prototype, iterate, and scale,

build-from-scratch, zero-to-one

What You’ll Build

• A

  real-time embedded AI system

  capable of learning from sensor, telematics, and environmental data.

• Edge intelligence architecture

  enabling continuous learning, behavioral prediction, and adaptive system responses.

• Secure, modular frameworks

  for distributed communication and high-reliability connectivity.

• Telemetry data pipelines, OTA update architecture, and federated learning frameworks.

• Interfaces for fleet-level intelligence, predictive diagnostics, and environmental preconditioning.

• The core

  AI + edge compute layer

  that will power the evolution toward a global connected mobility network.

Who You Are

builder, innovator, and systems thinker

You see the world through architecture, not just code. You want to build the systems that define industries.

• 3–8 years

  of experience in

  Embedded Systems, AI, Edge Computing, or Connected Mobility.

• Strong understanding of

  C++ / Python / Rust / ROS / Linux / CAN / MQTT / TCP-IP / microcontrollers.

• Hands-on experience with

  IoT or fleet telematics systems,

  designing data flows, real-time communication, or predictive analytics.
• Experience integrating

  hardware, firmware, and cloud intelligence layers.

• Familiar with

  AI/ML model deployment at the edge

  , sensor fusion, or adaptive system logic.
• A mindset focused on

  efficiency, scalability, and reliability.

• Thrive in

  startup environments,

  where you build fast, iterate, and lead through innovation.

Why You’ll Love This

• You’ll be part of the

  founding core

  building the architecture for a breakthrough technology.
• You’ll have

  end-to-end ownership,

  from concept to system deployment.
• Every decision you make will

  shape the foundation of a global mobility intelligence network.

• You’ll work directly with a visionary leadership team exploring

  AI, edge intelligence, and connected ecosystems.

• You’ll

  influence hardware, cloud, and AI design simultaneously,

  no silos, no red tape.
• You’ll be part of a mission to

  create a world where machines truly understand their surroundings,

  safely, efficiently, and intelligently.

Role Details

• Title:

  Technical Lead, AI Systems / Embedded Intelligence / Edge Computing

• Type:

  Full-Time / Core Team

• Location:

  Hybrid

• Start Date:

  Immediate

• Experience:

  3-8 years (preferably in automotive, fleets, or connected systems domain)

• Compensation:

  Competitive + early-stage equity potential

How to Apply

GitHub / portfolio/project links

info@jorosystems.com