Senior AI Engineer

Career Area:

Job Description:

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.

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.

Build the Digital Backbone of Modern Manufacturing

We're assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform—a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.

This platform is not an ERP system. It's a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle—from design and engineering to production and distribution.

This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You'll be part of a team that's not just building software—but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.

As part of this initiative, you'll contribute to:

• System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.
• Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.
• Automation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control—without replacing core transactional systems.
• Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.

If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies—this is your opportunity to make a meaningful impact.

Key Responsibilities:

• Lead architectural design and development of digital twin-driven generative/optimization models for process simulation, process scheduling, and predictive analytics in manufacturing.
• Develop modular, reusable Omniverse extensions; orchestrate pipelines integrating synthetic data generation, model training, validation, and deployment.
• Implement advanced optimization: multi-objective, non-linear, evolutionary, and constraint-based approaches for process efficiency (e.g., scheduling, logistics, yield predictions).
• Guide the integration of embedded AI & Gen AI solutions with real-time industrial data streams, ensuring high-throughput, high-availability, and low-latency deployment.
• Mentor teams in coding best practices, simulation-modelling, and deployment workflows using OpenUSD, Omniverse, and latest industrial AI stacks.

Required Skills:

• Strong experience with Generative AI models. Hands-on experience with Amazon bedrock and AWS AI-ML services
• Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen or similar.
• Expertise on cloud-native architecture, LLMOps and MLOps tools.
• Familiarity with security, cost and governance best practices for Gen AI on cloud environments.

Nice to Have Skills:

• Previous leadership in deploying ML pipelines and automation (CI/CD, containerization) at scale.
• Knowledge of quantization-aware training, model pruning, and NVIDIA-specific deployment tools (TensorRT, DeepStream SDK).
• Working knowledge of OpenUSD scene graphs, data schemas, and extension development for Omniverse Kit/Composer.
• Published research, open-source contributions, or patents in simulation-driven manufacturing AI or optimization.
• Familiarity with NVIDIA's AI stack— RAPIDS, Triton Inference Server, TensorRT, cuOpt (or similar)
• Applied industrial AI expertise: root-cause analysis, predictive maintenance, digital twin calibration.

Educational Background:  Typically requires a Bachelor's degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 7-10 years of professional experience in associated field is required, a Master's degree and 4-6 years of experience, or a PhD and 1-3 years of experience in relevant field.

Posting Dates:

Caterpillar is an Equal Opportunity Employer.  Qualified applicants of any age are encouraged to apply

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