Senior Software Engineering Manager (Nvidia Platform)

The Senior Manager, Software Engineering leads engineering teams responsible for simulation integration, Physical AI platform integration, digital twin systems, geospatial/safety services, and customer-facing simulation and visualization workflows. This role drives delivery, scales engineering execution, and establishes standards across multiple platform areas.

• 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.

Top Candidates Will Have

• 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 GitHub 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.

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
• These benefits also apply to part-time employees

This position requires working onsite five days a week.

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.