Automotive Software Architect Technical Lead

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 bypass of existing operator confirmation processes.
• Drive machine integration and establish non-functional requirements, including:
  Offline operation;
  Reliability and availability.
• Develop architecture documentation, interface specifications, and technical decision records.
• Lead troubleshooting efforts, supplier coordination, and technical risk mitigation activities.

• Bachelor s degree in Electrical Engineering, Computer Science, or Software Engineering.
• 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, and LIN.
• Experience developing systems with safety and compliance requirements.
• Familiarity with AI-enabled applications, preferably Grounded AI assistant or Retrieval-Augmented Generation (RAG) systems.
• Experience with OTA updates, logging, and telemetry.
• Strong documentation, analytical, problem-solving, and cross-functional leadership skills.
• Strong programming skills in C/C++ and Python.

• Experience with AI edge platforms such as NVIDIA Orin and NVIDIA Jetson.
• Experience with voice technologies:
  Automatic Speech Recognition (ASR).
• Automotive or robotics background; experience with connected automotive systems or robotics.
• 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 edge devices.