Jobs at Caterpillar

Test and validate AI-driven self-service solutions, analyze case and customer interaction data to identify shift-left opportunities, collaborate cross-functionally to convert repeat case drivers into AI/self-service content, maintain knowledge base and documentation, monitor AI performance and customer experience, and drive continuous improvement of automation and contact center workflows.

Lead and define end-to-end perception architecture for autonomous machine systems. Own sensor integration, sensor fusion, perception ML, scene understanding, data flow, validation, and safety. Guide a Perception Architecture Team, create roadmaps, drive architecture tradeoffs for edge deployment, and partner cross-functionally to ensure perception is deployable, testable, and safe in real-world jobsites.

Author and structure digital content and product rules for the Control Center application. Define feature requirements, participate in development and UAT, create user-facing documentation, gather dealer feedback, and provide ongoing stakeholder support to ensure accurate, scalable dealer execution.

Partner with stakeholders to analyze and document SAP ECC processes, develop BI and analytics solutions on enterprise platforms like Snowflake, improve data quality and governance, enable self-service reporting, and support application development and process modernization to drive better decision-making and operational efficiency.

Support development, testing, implementation and maintenance of application systems (Oracle E-Business Suite). Develop, code, debug and document small or straightforward programs; assist with integration, system testing, troubleshooting, and technical documentation. Provide end-user support and participate in migration, deployment and local integration efforts.

Design, develop, and maintain modern web applications and backend services. Build responsive frontends with React/Next.js and TypeScript, implement backend APIs with Java Spring Boot or Node.js, apply automated testing and CI/CD, troubleshoot production issues, participate in architecture discussions, and use AI-assisted developer tools to accelerate delivery and improve code quality.

Lead technical strategy and hands-on implementation of scalable, cloud-native data ingestion and processing platforms for sensor and telemetry data (LiDAR, radar, video, imagery, vehicle telemetry). Drive architecture, streaming and batch pipelines, SDLC/CI-CD, observability, and cross-team agile delivery to enable ML, autonomy, and analytics at enterprise scale.

Design and implement scalable, low-latency search platforms and features (NLP, vector search, personalization). Define technical vision, build APIs, optimize relevance with analytics/A-B testing, collaborate with product, data science, and engineering teams, and operate in an Agile global environment.

Lead design, prototyping, testing, and deployment of software solutions that apply emerging technologies (generative AI, LLMs, automation, cloud-native patterns). Evaluate and validate technical opportunities, build proofs of concept and production-ready features, ensure security/observability/maintainability, and partner with cross-functional teams to transition experiments into enterprise-ready solutions while mentoring others.

Design, build, and maintain scalable Snowflake-based data platforms and ETL/ELT pipelines; operationalize AI/ML models; automate processes; monitor and optimize code and data systems; support data governance and engage cross-functionally to deliver analytics and predictive solutions.

Design and deliver workforce analytics and predictive models using ML/AI. Acquire, clean, and explore structured and unstructured data, lead analytics projects, create visualizations, and communicate data-driven insights to business leaders to influence workforce decisions.

Design and develop backend RESTful APIs using microservices on AWS. Collaborate with product, architecture, and engineering teams. Contribute to CI/CD, automated testing, cloud deployment, and operational excellence while maintaining high software quality within Agile teams.

Designs, builds, and deploys predictive analytics, ML and AI models; assembles and processes large datasets; automates pipelines; mentors peers; enforces ML/AI data governance; presents insights to stakeholders and optimizes model performance for business value.

Lead product operations and roadmap for Cat Central, coordinating 2-3 scrum teams and stakeholders to improve onboarding, authentication, and adoption. Drive backlog priorities, cross-team dependencies, ways of working, metrics with Data & Analytics, and ensure high-quality mobile-first customer experiences.

Own the safety and compliance product portfolio: define strategy, roadmap, and governance to ensure autonomous and software-enabled products meet safety, regulatory, and certification requirements. Prioritize backlog, drive hazard analyses and risk mitigation, ensure traceability and audit readiness, partner cross-functionally with engineering, safety, legal, and quality, and communicate compliance and certification status to stakeholders.

Lead design, development, prototyping, and scaling of emerging-technology software solutions (generative AI, RAG, LLMs). Architect secure, observable cloud-native systems, mentor engineers, define evaluation metrics, and collaborate with product, data, security, and operations to productionize innovative capabilities.

Develop and maintain Python data pipelines and CI/CD deployments to build business data objects. Interpret design requirements, implement source-to-target mappings, write unit/integration tests, and resolve complex application issues while promoting software quality and team improvement.

Lead data architecture efforts to design scalable database and data solutions, define data management strategy, enforce data quality and governance, document domain data models, and provide technical leadership across teams to support applications, analytics, and BI use cases.

Lead end-to-end system integration for autonomous solutions, aligning domain product teams, system engineering, safety, data, and deployment. Own system-level backlog, define acceptance criteria, manage dependencies, risks, and tradeoffs, drive roadmap alignment, integration readiness, milestone decisions, and deliver cohesive mission outcomes across multiple scrum teams and product domains.

Lead end-to-end machine deployment lifecycle: define strategy and roadmap, manage integrated master schedule, prioritize backlog, coordinate procurement, assembly, validation, testing, logistics, shipment, and site delivery. Make deployment decisions, define acceptance criteria, and communicate readiness, risks, and milestones while partnering with Engineering, Supply Chain, Manufacturing, Test & Validation, and customers.