Lead Technical Architect

Job Title: Architect / Technical Lead

Location: Peoria, IL (Onsite)

Overview:

We are seeking an experienced Architect / Technical Lead to define and lead the technical architecture for an aftermarket In-Cab AI Assistant platform for heavy equipment. The solution includes dedicated compute, secondary display, voice-first interaction, machine integration, grounded Q&A, OTA updates, logging, and diagnostics.

Responsibilities

• Define and evolve end-to-end architecture across embedded compute, display, audio, machine interfaces, AI assistant services, OTA, logging, and diagnostics.

• Provide technical leadership across discovery, implementation, integration, optimization, and release readiness.

• Translate program objectives and constraints into architecture, design decisions, and technical priorities.

• Ensure safety, compliance, security, latency, reliability, offline behavior, and performance requirements.

• Guide machine integration, grounded AI/RAG assistant behavior, and system interfaces.

• Create architecture documents, interface definitions, and technical decision records.

• Support troubleshooting, supplier coordination, and technical risk reduction.

Required Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field.

• 8+ years of experience in software, systems, or embedded engineering with architecture or technical leadership experience.

• Strong experience with Linux-based embedded systems, C/C++, Python, and system-level software design.

• Experience with embedded/edge compute, hardware/software integration, HMI, display, audio, and device components.

• Experience with CAN, J1939, CDL, or similar machine/vehicle interfaces.

• Experience with AI/LLM/RAG applications, GPU/edge AI platforms, and machine learning inference.

• Experience with OTA, diagnostics, logging, telemetry, device management, and connected products.

• Strong communication, documentation, problem-solving, and cross-functional leadership skills.

Preferred Qualifications

• Experience with NVIDIA Orin/Jetson or similar edge AI platforms.

• Experience with ASR, TTS, voice systems, and multimodal interaction.

• Experience with automotive, heavy equipment, industrial IoT, robotics, or connected machinery.

• Experience with cybersecurity architecture for connected embedded systems.

• Experience with aftermarket or retrofit products and technical content grounding using manuals, service documentation, or fault data.