Senior Engineer- Connectivity

Caterpillar•Irving, TX

19h•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. Role Definition Designs, develops, implements, and supports connectivity solutions enabling connected machines, remote operations, digital services, and autonomous technologies. Provides technical leadership across connectivity systems, including cellular, satellite, edge computing, telemetry, cloud integration, and data pipeline architectures. This position partners closely with Product Management, Architecture, and Engineering teams to deliver scalable, reliable, and secure connectivity solutions that power Caterpillar's connected ecosystem. The successful candidate will lead technical design efforts, solve complex system challenges, influence architecture decisions, and mentor engineers across multiple connectivity initiatives.

Requirements

Demonstrates expert understanding of connected asset ecosystems, Industrial IoT, telematics, autonomy, and digital platforms.
Evaluates industry trends and emerging technologies that influence machine connectivity and remote operations.
Assesses competitive solutions, regulatory considerations, and technology disruptions.
Applies market knowledge to technical solution development and architecture decisions.
Provides guidance on emerging connectivity and digital technology trends.
Leads resolution efforts for complex technical and operational issues.
Identifies root causes across distributed systems, connectivity infrastructure, and software platforms.
Develops innovative solutions to high-impact problems.
Balances short-term remediation with long-term architectural improvements.
Establishes repeatable approaches for diagnosing and resolving technical challenges.
Captures lessons learned and drives continuous improvement.
Demonstrates expertise across all phases of software development and delivery.
Applies Agile, DevOps, and modern engineering practices.
Leads solution development from requirements through deployment and operational support.
Contributes to architecture, implementation, testing, release management, and lifecycle maintenance.
Drives quality and engineering excellence throughout the product lifecycle.
Designs and implements connectivity architectures spanning machine, edge, site, and cloud systems.
Evaluates cellular, satellite, wireless, and networking technologies for specific business use cases.
Develops resilient communication solutions for remote and mission-critical environments.
Provides technical leadership on connectivity performance, reliability, resilience, and scalability.
Troubleshoots and optimizes complex networking and communication infrastructures.
Designs and supports real-time and batch telemetry processing architectures.
Implements scalable data ingestion and event-driven solutions.
Develops cloud-native services supporting connectivity and digital products.
Collaborates with data engineering teams to optimize data quality, observability, and reliability.
Understands distributed systems and large-scale data platform architectures.
Bachelor's degree in Engineering, Computer Science, Telecommunications, or related technical field.
10+ years of experience in Software Engineering, Connectivity Engineering, Networking, Distributed Systems, Cloud Platforms, or Industrial IoT.
Advanced experience developing software using: Python, C, C++, C#
Experience designing and supporting connected products and telematics platforms.
Experience with: Starlink and satellite communications, LTE, LTE-M, NB-IoT, and 5G technologies, Private LTE and Private 5G environments, IoT and edge computing platforms, MQTT, Kafka, AMQP, REST APIs, and event-driven architectures, TCP/IP networking, VPNs, routing, DNS, and network diagnostics.
Experience building and supporting machine telemetry and cloud-based data pipelines.
Experience working with Azure, AWS, or cloud-native distributed systems.
Experience leading architecture discussions, technical design reviews, and complex engineering initiatives.

Nice To Haves

Familiarity with autonomous systems, connected equipment, fleet management, mining, construction, or industrial automation solutions.
Demonstrated ability to mentor engineers and influence technical direction across organizations.

Responsibilities

Design, develop, test, deploy, and support connectivity solutions across machine, site, edge, and cloud environments.
Lead development of software and services supporting machine telemetry, remote monitoring, fleet management, digital products, and autonomous operations.
Design and implement connectivity solutions leveraging: Cellular technologies (LTE, LTE-M, NB-IoT, 5G), Satellite communications (including Starlink), Private LTE and Private 5G networks, Wi-Fi and industrial networking solutions, Edge gateways and edge computing platforms.
Design and support telemetry, event streaming, messaging, and data ingestion pipelines from machine-to-edge-to-cloud environments.
Evaluate connectivity architectures for reliability, scalability, security, performance, and operational efficiency.
Lead troubleshooting and root cause analysis for complex connectivity, networking, software, and data pipeline issues.
Collaborate with Product Managers, Architects, Cybersecurity, Cloud Engineering, and Data Engineering teams to ensure successful solution delivery.
Establish engineering standards, implementation patterns, testing strategies, and operational best practices.
Participate in architecture reviews and technical design decisions for enterprise connectivity platforms.
Evaluate emerging technologies and provide recommendations that improve platform capabilities and customer value.
Mentor engineers and contribute technical leadership across multiple teams and projects.
Drive continuous improvement in system observability, reliability, performance, and operational supportability.