Principal Edge Architect - Platform

Career Area:

Technology, Digital and Data

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.

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.

Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible-intelligent machines operating in dynamic jobsites-into reality.

Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.

In these roles, you'll work at the intersection of the physical and digital worlds. You'll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.

Own the overall architecture strategy for the edge platform that runs machine autonomy applications. This role leads the Physical AI - Edge Platform Architecture Team and defines how the NVIDIA Thor-based compute platform, input/output interfaces, networking, runtime environment, storage, monitoring, diagnostics, and system resources come together to support perception, robotics, machine interface, data logging and transmission, and safety-related autonomy services.

This architect ensures the edge platform is scalable, reliable, serviceable, secure, and ready for real machine deployment across different autonomy applications, sensor configurations, machine platforms, and operating environments.

• Define the overall edge platform architecture and roadmap for machine autonomy applications, including compute, input/output interfaces, networking, memory, storage, runtime environment, diagnostics, monitoring, data logging, and data transmission.
• Own key platform architecture decisions and tradeoffs across GPU, CPU, memory, storage, sensor bandwidth, network bandwidth, latency, power, thermal limits, reliability, serviceability, scalability, and cost.
• Lead architecture alignment across perception, robotics, machine platform, simulation, validation, safety, cybersecurity, operations, and product teams to ensure the edge platform supports end-to-end autonomy needs.
• Define standard edge platform configurations for different machine types, sensor packages, autonomy feature levels, and deployment environments, including platform expansion strategy.
• Identify platform capability gaps, technical risks, and future hardware or software needs, and drive recommendations for platform improvements, supplier engagement, upgrade paths, and long-term edge compute strategy.

• Analytical Thinking: Expert Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Platform Architecture: Expert knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems; ability to design these roadmaps and deploy supportive interfaces for end-users to access related systems, in accordance with standards and processes.
• Data Architecture: Expert knowledge of processes, techniques and factors that affect data architecture; ability to design blueprints on how to integrate data resources for business processes and functional support. Ability to utilize design methodologies, tools and techniques to convert business requirements and logical models into a technical design.
• Effective Communications: Expert understanding effective communication…