Principal Software Engineer (Autonomy Services)

Caterpillar
Irving, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 240K

Job location

Irving, United States of America

Tech stack

Java
API
Artificial Intelligence
Automated Storage and Retrieval Systems
Cloud Engineering
Databases
Continuous Integration
Software Design Patterns
Distributed Systems
Electronic Data Interchange (EDI)
Python
Data Processing
Real Time Systems
Large Language Models
Multi-Agent Systems
Spring-boot
Backend
AI Platforms
Api Design
gRPC
Serverless Computing
Microservices

Job 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

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.

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

Benefits & conditions

Subject to plan eligibility, terms, and guidelines. This is a summary list of 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

About the company

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.

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