Senior Software Engineering Manager; Nvidia Platform

Career Area:
Technology, Digital and Data

Job Description:

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.

• Lead multiple engineering teams delivering simulation result services, platform integration services, geospatial/safety services, and digital twin integration capabilities.
• Define and execute the vision for several scalable and secure platform Services and APIs that promote reuse, reduce duplication, and improve developer productivity.
• Collaborate closely with product, architecture, security, and business stakeholders to ensure platform capabilities align with long‑term enterprise strategy and evolving customer needs.
• Drive the design and development of Platform Services/APIs with reusability in mind, balancing immediate business needs with future use cases by anticipating and forecasting evolving requirements.
• You will constantly seek opportunities to improve organizational efficiencies

• Organizational Leadership:
  Demonstrated ability to build and lead high‑performing engineering teams, foster a culture of accountability and innovation, and influence cross‑functional stakeholders to deliver enterprise platform strategy and outcomes.
• Software Architecture:
  Deep understanding of designing and evolving reusable platform services (shared APIs, common frameworks, foundational services) that enable downstream product teams to scale efficiently.
• Software Development:
  Proven expertise in designing and delivering scalable, cloud‑native distributed systems, Platform Services and APIs, and driving engineering best practices across quality, performance, reliability, security, and automation.
• Operational Excellence:
  Ability to detect systemic issues early, manage risk proactively, and drive corrective actions across teams and services.

• Experience with NVIDIA ecosystem technologies such as Omniverse, OpenUSD/USD, Isaac Sim, or equivalent simulation/digital twin platforms.
• Gen AI Assisted Development:
  Practical experience leveraging AI‑assisted development tools (such as Git Hub Copilot or automated agent workflows) to accelerate code generation, boilerplate reduction, and automated testing across multiple teams.
• Vision & Execution at Scale:
  Proven ability to set a clear platform and engineering vision and drive multiple complex initiatives in parallel through a large organization of 20+ software engineers, aligning teams, managing dependencies, and delivering outcomes with consistency and accountability.

• This position requires the candidate to be based in Irving, TX (Dallas)
• Domestic relocation assistance is available for this position.
• Visa sponsorship is available for this position

Summary Pay Range: $ - $

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location,…