Lead AI Automation Engineer - Autonomous Construction

Caterpillar Inc.

Irving (TX)

On-site

USD 128,000 - 209,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
Paid time off
401(k) plans
HSA
FSAs
Career development
Bonus
Relocation assistance
Visa sponsorship

Job summary

Caterpillar Inc. is seeking a Lead AI Automation Engineer to guide a scrum team building automated annotation and captioning for robotics, autonomy, CV, and Vision-Language-Action systems. You’ll blend software, ML, and data engineering to deploy scalable labeling and QA solutions on real-world heavy equipment.

You’ll work on AI models, data pipelines, and platforms like NVIDIA Cosmos Curator to enable automated labeling, captioning, and data-driven improvements at scale in a production setting.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, AI, ML, Robotics, or related field.
  • Experience leading technical delivery for software or AI engineering teams.
  • Experience developing production-grade software using Python and modern practices.
  • Experience designing distributed systems, APIs, and data pipelines.
  • Experience training, fine-tuning, or deploying ML models.
  • Strong problem-solving skills across technical disciplines.
  • 3+ years creating/ managing camera and LiDAR datasets for perception or ML.
  • 3+ years data annotation and QA for autonomous systems or CV projects.

Responsibilities

  • Lead the technical execution of a scrum team focused on annotation automation and AI-driven data production.
  • Design, develop, and deploy automated labeling and captioning solutions for perception and VLA datasets.
  • Train, fine-tune, and evaluate AI models to support auto-labeling and QA automation.
  • Build data pipelines and workflows for automated labeling, human review, QA, and publication.
  • Extend platforms like NVIDIA Cosmos Curator and Cosmos Reason and other AI automation tech.
  • Integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.
  • Drive reliability, scalability, observability, and operational excellence of annotation services.
  • Mentor engineers and provide day-to-day technical leadership.

Skills

Leadership
Python
Distributed systems
Data pipelines
ML models
Problem solving
Cross-functional collaboration
AI automation

Education

Bachelor's degree in Computer Science or related field

Tools

Labelbox
Supervisely
RoboFlow
PyTorch
TensorFlow
ONNX
Weights & Biases
MLflow

Job description

Caterpillar Inc. is seeking a Lead AI Automation Engineer to guide a scrum team building automated annotation and captioning for robotics, autonomy, CV, and Vision-Language-Action systems. You’ll blend software, ML, and data engineering to deploy scalable labeling and QA solutions on real-world heavy equipment.

You’ll work on AI models, data pipelines, and platforms like NVIDIA Cosmos Curator to enable automated labeling, captioning, and data-driven improvements at scale in a production setting.

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