Principal Perception Architect

Caterpillar

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Irving, TX
Salary
$159,120–$258,570 / yr
Posted
22 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 19, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $209k
$139k most similar roles pay here $289k

This role pays more than 54% of similar roles. Most pay $190,487–$236,512 — the shaded band above. At the midpoint, this role pays about $209k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Caterpillar

Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing

Caterpillar currently has 62 open roles on FindRole.

Listed pay typically runs $131,789–$192,710 across 61 roles with salary data.

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At a glance

TL;DR · Principal Perception Architect

As a Principal Perception Architect, you will join the team responsible for developing intelligent systems that enable machines to perceive their environment and make informed decisions in dynamic construction sites. You will define the end-to-end perception architecture across sensors, processing, machine learning, fusion, 3D mapping, validation, and safety while owning the roadmap and key architectural trade-offs regarding accuracy, latency, and reliability. Your daily work involves ensuring sensor processing, object detection, and semantic understanding function as a unified system integrated with robotics, edge platforms, and simulation. You will utilize C++, Python, and experience with camera, lidar, radar, stereo, ultrasonic, GNSS, and localization inputs to solve complex problems in construction autonomy. This role focuses on the intersection of physical systems and digital intelligence to create safe, productive operations for heavy machinery operating at scale.

What you'll do

  • Define end-to-end perception architecture across sensors, processing, machine learning, fusion, 3D mapping, and safety.
  • Own the perception roadmap and make key decisions regarding accuracy, latency, compute, and scalability.
  • Integrate sensor processing, object detection, semantic understanding, and tracking into a unified system.
  • Align perception outputs with robotics, edge platforms, simulation, and machine platform teams.
  • Ensure perception data is usable by downstream teams and deployable on edge hardware.
  • Maintain technical artifacts including output contracts, interface standards, and risk assessments.
  • Manage the integration of multi-sensor data including lidar, radar, camera, and GNSS for localization.

What we're looking for

  • Ability to take ownership of end-to-end perception architecture across sensors, processing, ML, fusion, mapping, and safety.
  • Strong autonomy systems thinking connecting perception outputs to robotics, planning, control, simulation, and edge runtime.
  • Experience with deployed autonomous, robotic, vehicle, industrial, agriculture, construction, mining, or mobile machine systems.
  • Deep expertise in multi-sensor integration including camera, lidar, radar, stereo, ultrasonic, GNSS, and localization inputs.
  • Familiarity with the NVIDIA ecosystem, physical AI platforms, and safety analysis.
  • Progressive career in software engineering and architecture with a focus on data (typically 10+ years).
  • Experience leading technology development for enterprise scale systems in public cloud and hybrid ecosystems (typically 8+ years).
  • Proficiency in C++ and Python programming.

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