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# Principal Software Engineer (Autonomy Services)

- **Company:** Caterpillar
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $147,760.0 - $240,110.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Cloud Engineering, Databases, Continuous Integration, Software Design Patterns, Distributed Systems, Electronic Data Interchange (EDI), Python (Programming Language), Data Processing, Real Time Systems, Large Language Models, Multi-Agent Systems, Spring-boot, Backend, AI Platforms, Api Design, Grpc, Serverless Computing, Microservices
- **Published:** July 30, 2026
- **Apply:** https://www.jofdav.com/jobs/59035965-principal-software-engineer-autonomy-services

## About the Role

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.

TOP CANDIDATES WILL HAVE

 * Strong experience building backend microservices and APIs (REST, gRPC, event-driven) for autonomy or real-time systems
 * Experience in autonomy systems, robotics, simulation, or real-time control platforms
 * Expertise in designing scalable cloud-native architectures, service contracts, and integration patterns
 * Strong backend development using Java or Python for APIs, orchestration, and data processing
 * Deep understanding and application of design patterns
 * Experience with AI-assisted/agentic development workflows and validating AI-generated code
 * Understanding of high-reliability systems (async workflows, retries, idempotency, observability)
 * Nice to Have:
 * 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

## Description

The Principal Software Engineer provides technical leadership to define architecture and integration strategies for Physical AI services, digital twin integration, simulation data exchange, and cloud-native backend platforms. The role focuses on building scalable microservices and APIs, while establishing engineering standards and driving platform consistency across teams., * Define and drive architecture for backend microservices and APIs (Java, Spring Boot, Python) supporting integration, data exchange, and platform services

 * Lead design and delivery of scalable, secure, and high-performance cloud-native services and integration adapters
 * Establish and enforce API standards, service contracts, and integration patterns (REST, gRPC, event-driven) across distributed systems
 * Provide technical leadership on complex system design, service scalability, and integration 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
 * Mentor engineers and elevate team capability in microservices design, API development, and backend engineering best practices
 * Guide teams in building robust integration services, adapter layers, and artifact/data exchange workflows
 * Collaborate with cross-functional teams to define API interfaces, integration contracts, and platform service boundaries
 * Identify and drive platform simplification, reuse, and organizational efficiency improvements


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