Senior Embedded System Engineer

Pentangle Tech Services | P5 Group

Illinois

On-site

USD 140,000 - 190,000

Full time

13 days ago

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Job summary

Pentangle Tech Services | P5 Group in Illinois seeks an Architect / Technical Lead to define and lead the technical architecture for an aftermarket In-Cab AI Assistant platform for heavy equipment. You will own end-to-end architecture, safety, compliance, and security.

You will guide embedded and edge compute, hardware/software integration, and latency/offline behavior targets, delivering architecture artifacts and decision records while coordinating cross‑functional teams.

Qualifications

  • Bachelor's degree required in a related field.
  • Experience leading architecture or technical teams.
  • Experience designing embedded or edge compute systems.
  • Strong Linux-based embedded software design background.
  • Experience with hardware/software integration for compute/display/audio.
  • Familiarity with safety, compliance, and security constraints.
  • Experience with OTA, diagnostics, logging, and device management.

Responsibilities

  • Define end-to-end system architecture across embedded compute, display, audio, and diagnostics.
  • Provide technical leadership across discovery, implementation, integration, optimization, and release readiness.
  • Translate objectives into architecture decisions and priorities.
  • Ensure safety boundaries, including no AI-driven machine movement and no bypass of confirmation patterns.
  • Guide machine integration and grounded assistant behavior; address latency, offline behavior, reliability.
  • Produce architecture artifacts, interface definitions, and technical decision records.
  • Support troubleshooting, supplier coordination, and risk reduction.

Skills

C/C++
Python

Education

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related field

Job description

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, a secondary display, voice-first interaction, machine integration, grounded Q&A, and connected-device capabilities such as OTA updates, logging, and diagnostics. This role is responsible for setting the end-to-end architecture and ensuring the solution remains within safety, compliance, and security constraints.

Responsibilities
  • Define and evolve the end-to-end system architecture across embedded compute, display, audio, machine interfaces, 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 the solution remains within defined safety boundaries, including no AI-driven machine movement and no bypass of existing confirmation patterns.
  • Guide machine integration, grounded assistant behavior, and non-functional requirements such as latency, boot time, offline behavior, and reliability.
  • Produce architecture artifacts, interface definitions, and technical decision records.
  • Support troubleshooting, supplier coordination, and technical risk reduction across the program.
Required Qualifications
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related field.
  • Experience in software, systems, or embedded engineering, including architecture or technical leadership responsibilities.
  • Experience designing and delivering embedded or edge-compute systems.
  • Strong background in Linux-based embedded systems and system-level software design.
  • Experience with hardware/software integration, including compute, display, audio, or similar device components.
  • Experience with machine, vehicle, or industrial interfaces such as CAN, J1939, CDL, or similar environments.
  • Experience designing systems with safety, compliance, or functional constraints.
  • Familiarity with AI-enabled applications, preferably grounded assistant or RAG-style systems.
  • Experience with OTA, diagnostics, logging, telemetry, and device management for connected products.
  • Strong documentation, problem-solving, cross-functional technical leadership, and communication skills.
  • Strong programming skills in C/C++ and Python.
Preferred Qualifications
  • Experience with NVIDIA Orin, Jetson, or similar edge AI platforms.
  • Experience with voice systems, including ASR, TTS, and in-cab audio integration.
  • Experience with HMI for industrial, automotive, or heavy-equipment applications.
  • Background in heavy equipment, automotive, industrial IoT, robotics, connected machinery, GPU, or AI.
  • Experience with cybersecurity architecture for connected embedded systems.
  • Experience with aftermarket or retrofit products.
  • Familiarity with technical content grounding using manuals, service documentation, or fault data.
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