Principal Software Engineer (Nvidia Platform)

Caterpillar Brazil; Irving (TX); On-site; USD 147,760 - 240,110; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Health Savings Account (HSA)

Flexible Spending Accounts (FSAs)

Career Development

Incentive bonus

Parental leave

Tuition Reimbursement

Job summary

Caterpillar Inc. is seeking a Principal Software Engineer for Physical AI and Digital Twin Integration in Irving, TX. You will design and lead architecture for simulation platforms, digital twin systems, and cloud-native services, guiding integration and data exchange across microservices.

You will mentor engineers, drive platform scalability, and enforce standards for secure, observable, and high-performing systems, with a focus on backend APIs and integration layers.

Qualifications

• Experience designing cloud-native microservices and distributed systems.
• Experience in simulation, NVIDIA ecosystem, robotics, digital twin, or industrial automation platforms.
• Backend development with Python or Java for production-grade APIs and platforms.
• Experience with AI-assisted/agentic development workflows and validating AI-generated code.
• Understanding of secure software development.

Responsibilities

• Define and drive end-to-end architecture and integration strategy for simulation platforms, digital twin systems, and backend microservices APIs.
• Lead design and delivery of scalable cloud-native services, integration adapters, and data/asset exchange systems.
• Establish and enforce design patterns, service contracts, and integration standards (REST, gRPC, event-driven) across distributed systems.

Skills

Cloud-native design

Distributed systems

REST & gRPC APIs

Python

Java

Tools

CI/CD tooling

Cloud platforms (AWS/GCP)

Job description

Career Area: Technology, Digital and Data

Overview

Principal Software Engineer – Physical AI / Digital Twin Integration at Caterpillar Inc. Design and lead the architecture and integration strategy for simulation platforms, digital twin systems, and cloud‑native services to support safe, productive, and sustainable jobsites.

What You Will Do

• Define and drive end‑to‑end architecture and integration strategy for simulation platforms, digital twin systems, and backend microservices APIs.
• Lead design and delivery of scalable cloud‑native services, integration adapters, and data/asset exchange systems.
• Establish and enforce design patterns, service contracts, and integration standards (REST, gRPC, event‑driven) across distributed systems.
• Provide technical leadership on complex system design and platform scalability challenges.
• Review architecture, designs, code, APIs, and data contracts to ensure reliability, performance, security, observability, and maintainability.
• Drive engineering excellence across architecture, testing, CI/CD, observability, and operational readiness.
• Lead adoption of AI‑assisted and agentic development workflows, defining standards for prompt quality, validation, and code generation practices.
• Mentor engineers and elevate team capability in system design, backend engineering, and integration best practices.
• Guide platform and full‑stack trade‐offs, with a primary focus on backend microservices and integration layers.
• Collaborate with cross‑functional and external teams to define APIs, integration patterns, and data exchange models.

Qualifications

• Strong experience designing cloud‑native microservices and distributed systems with APIs (REST, gRPC, event‑driven).
• Experience in simulation, NVIDIA ecosystem, robotics, digital twin, or industrial automation platforms.
• Expertise in defining scalable integration architectures, service contracts, and observability patterns.
• Strong backend development using Python (preferred) or Java for production‑grade APIs and platforms.
• Experience with AI‑assisted/agentic development workflows and validating AI‑generated code.
• Understanding of responsible AI practices and secure software development.

Nice to Have

• Experience building production AI agents using Python.
• Experience with agent orchestration frameworks such as LangChain or LangGraph.
• Experience integrating LLMs with external tools, APIs, databases, and retrieval systems.
• Experience designing evals, guardrails, and monitoring for agent reliability.
• Multi‑agent workflow design and memory/context management.
• Prompt optimization, latency reduction, and cost control.
• MLOps or model deployment experience.

Additional Details

Location: Irving, TX (Dallas). The position requires working onsite five days a week. Domestic relocation assistance and visa sponsorship are available.

Pay Range

$147,760.00 – $240,110.00 (salary may vary based on factors such as market location, level, skill, and experience).

Benefits

• Medical, dental, and vision benefits.*
• Paid time off plan (Vacation, Holidays, Volunteer, etc.).
• 401(k) savings plans.
• Health Savings Account (HSA).
• Flexible Spending Accounts (FSAs).
• Health Lifestyle Programs.
• Employee Assistance Program.
• Voluntary Benefits and Employee Discounts.
• Career Development.
• Incentive bonus.
• Disability benefits.
• Life Insurance.
• Parental leave.
• Adoption benefits.
• Tuition Reimbursement.

Equal Opportunity

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.