Automotive Technology Instructor Jobs in Illinois

Key Responsibilities

• Define and evolve the overall system architecture across:
• Embedded compute platforms
• Displays and HMI
• Audio and voice interfaces
• Machine interfaces and connectivity
• Assistant services and AI integration
• OTA updates, diagnostics, logging, and telemetry
• Provide technical leadership throughout design, implementation, integration, optimization, and release activities.
• Translate business objectives into technical architecture, design decisions, and engineering priorities.
• Ensure compliance with safety constraints, including:
• No AI-driven machine movement
• No bypass of existing operator confirmation processes
• Drive machine integration and establish non-functional requirements, including:
• System latency
• Boot time
• Offline operation
• Reliability and availability
• Develop architecture documentation, interface specifications, and technical decision records.
• Lead troubleshooting efforts, supplier coordination, and technical risk mitigation activities.

Required Qualification

• Bachelor's degree in:
• Computer Engineering
• Electrical Engineering
• Computer Science
• Software Engineering
• Related engineering discipline
• 8+ years of experience in embedded software, systems engineering, or software architecture roles.
• Strong experience designing and delivering embedded or edge-computing systems.
• Expertise in Linux-based embedded systems and system-level software architecture.
• Experience integrating hardware and software components such as compute modules, displays, and audio systems.
• Experience with vehicle or industrial communication protocols such as:
• CAN
• J1939
• CDL
• Experience developing systems with safety and compliance requirements.
• Familiarity with AI-enabled applications, preferably:
• Grounded AI assistants
• Retrieval-Augmented Generation (RAG) systems
• Experience with:
• OTA updates
• Diagnostics
• Logging and telemetry
• Device management platforms
• Strong documentation, analytical, problem-solving, and cross-functional leadership skills.
• Excellent communication skills.
• Strong programming skills in:
• C/C++
• Python

Preferred Qualifications

• Experience with AI edge platforms such as:
• NVIDIA Orin
• NVIDIA Jetson
• Experience with voice technologies:
• Automatic Speech Recognition (ASR)
• Text-to-Speech (TTS)
• In-cab audio integration
• Experience developing HMI solutions for:
• Automotive
• Industrial equipment
• Heavy machinery
• Background in:
• Heavy equipment
• Automotive systems
• Industrial IoT
• Robotics
• Connected machinery
• Experience with GPU computing and AI workloads.
• Knowledge of cybersecurity architecture for connected embedded systems.
• Experience with aftermarket or retrofit products.
• Familiarity with grounding AI systems using:
• Service manuals
• Technical documentation
• Diagnostic and fault-code data