Lead Edge Architect for Autonomous Platforms

Caterpillar Inc.

Irving (TX)

On-site

USD 170,000 - 240,000

Full time

2 days ago
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Job summary

Caterpillar Inc. in Irving, TX invites experienced architects to own the edge platform architecture for machine autonomy.

You will lead the Physical AI – Edge Platform Architecture Team and design how NVIDIA Thor-based compute, I/O, networking, storage, and runtime come together to support perception, robotics, data logging, and safety services. You will ensure the edge platform is scalable, secure, and ready for real-world deployment across various autonomy applications and environments,

Responsibilities

  • Define the overall edge platform architecture and roadmap for machine autonomy applications, including compute, input/output interfaces, networking, memory, storage, runtime environment, diagnostics, monitoring, data logging, and data transmission.
  • Own key platform architecture decisions and tradeoffs across GPU, CPU, memory, storage, sensor bandwidth, network bandwidth, latency, power, thermal limits, reliability, serviceability, scalability, and cost.
  • Lead architecture alignment across perception, robotics, machine platform, simulation, validation, safety, cybersecurity, operations, and product teams to ensure the edge platform supports end‑to‑end autonomy needs.
  • Define standard edge platform configurations for different machine types, sensor packages, autonomy feature levels, and deployment environments, including platform expansion strategy.
  • Identify platform capability gaps, technical risks, and future hardware or software needs, and drive recommendations for platform improvements, supplier engagement, upgrade paths, and long‑term edge compute strategy

Job description

Caterpillar Inc. in Irving, TX invites experienced architects to own the edge platform architecture for machine autonomy.

You will lead the Physical AI – Edge Platform Architecture Team and design how NVIDIA Thor-based compute, I/O, networking, storage, and runtime come together to support perception, robotics, data logging, and safety services. You will ensure the edge platform is scalable, secure, and ready for real-world deployment across various autonomy applications and environments,

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