Architect / Technical Lead - Embedded AI Systems (In-Cab AI Assistant)

Sovereign Technologies

Peoria, IL, United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Systems Engineering VoIP C++ (Programming Language) Communications Protocols Computer Engineering Linux on Embedded Systems Embedded Software IP Pbx Information Systems Security Architecture Professional Python (Programming Language) Software Architecture

+11 more

Smart Devices Software Engineering Systems Architecture Systems Integration Data Logging Gpu Programming Information Technology HMI Screens Hardware Infrastructure Multiaccess Edge Computing Virtual Agents

Job description

We are looking for an experienced Architect / Technical Lead to lead the end-to-end architecture of an AI-powered In-Cab Assistant platform for heavy equipment. The ideal candidate will have strong expertise in embedded Linux, system architecture, AI-enabled edge devices, hardware/software integration, and connected embedded systems. This role involves defining technical architecture, leading cross-functional engineering teams, ensuring safety and compliance, and driving integration of AI, voice, display, and machine interfaces.

Requirements

System Architecture & Technical Leadership
Embedded Linux
C/C++ and Python
Embedded/Edge Computing Systems
Hardware & Software Integration
CAN, J1939, CDL or similar machine communication protocols
AI/RAG (Grounded AI Assistant) knowledge
OTA Updates, Diagnostics, Logging & Telemetry
NVIDIA Orin/Jetson (Preferred)
Voice Systems (ASR/TTS)
Industrial/Automotive/Heavy Equipment domain, * Bachelor’’'’s degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, or related field.
8+ years of experience in embedded software, systems engineering, or technical architecture.
Strong experience with Embedded Linux and system-level software architecture.
Proficiency in C/C++ and Python.
Experience with embedded/edge AI platforms.
Experience integrating compute, display, audio, and hardware components.
Knowledge of CAN/J1939/CDL or similar industrial communication protocols.
Experience with OTA updates, diagnostics, telemetry, logging, and device management.
Familiarity with AI/RAG (Grounded AI Assistant) systems.
Strong documentation, communication, and technical leadership skills.