Senior AI Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Career Area:
Technology Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar yourejoining 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 dontjust 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 were 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
Were assembling a dynamic team to develop and scale ourManufacturing & Supply Digital Platforma next-generation software framework that transforms how manufacturing and supply operations connect collaborate and optimize.
This platform isnot an ERP system. Its a purpose-built digital layer that integrates data processes and resources across the entire manufacturing lifecyclefrom design and engineering to production and distribution.
This initiative ispowered by NVIDIA technologies including theOmniverse platformandAI computing capabilities enabling immersive digital twins accelerated simulation and intelligent automation. Youll be part of a team thats not just building softwarebut shaping the future of how manufacturing works throughAI-driven collaborative and scalable digital solutions.
As part of this initiative youll 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 controlwithout replacing core transactional systems.
- Enhanced Collaboration: Enabling transparent communication and coordination across teams functions and geographies.
If youre passionate about digital platforms industrial innovation and working with cutting-edge technologiesthis 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 NVIDIAs 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 Bachelors 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 Masters degree and 4-6 years of experience or a PhD and 1-3 years of experience in relevant field.
Posting Dates:
November 7 2025 - November 20 2025Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply Join our Talent Community.
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial turbines and diesel-electric locomotives.
