Principal Software Engineer (Nvidia Platform)

Caterpillar•Irving, TX

9h•Onsite

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Help Build the Future of Caterpillar At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale. You’ll build and deploy against one of the most unique data foundations - over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Requirements

Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into software product design and strategic technical direction.
Software Product Technical Knowledge: Knowledge of technical aspects of software products; ability to design, configure, and integrate technical aspects of software products.
Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Effective Communications: Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through appropriate communication behaviors.
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 Haves

Experience building production AI agents using Python
Experience with agent orchestration frameworks such as LangChain or LangGraph
Experience integration 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

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
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 primary focus on backend microservices and integration layers
Collaborate with cross-functional and external teams to define APIs, integration patterns, and data exchange models