Responsibilities
- Anomaly Detection: Design and implement GPU-accelerated machine learning models (e.g., XGBoost, autoencoders, and GANs) to identify irregular patterns in high-frequency sensor data.
- Digital Twin Engineering: Partner with engineering teams to develop onboard digital twins using NVIDIA architecture to simulate, predict, and optimize the performance of heavy machinery
- Optimization: Profile and tune deep learning algorithms for maximum efficiency on NVIDIA GPU architectures, ensuring high throughput and low latency for real-time monitoring.
- Edge Deployment: Adapt and test algorithms for onboard architecture, leveraging tools like NVIDIA Jetson and real-time edge processing on Cat equipment.
- Hardware-Software Co-Design: Collaborate with hardware / simulation engineers to ensure algorithm compatibility with next-generation processors and specialized onboard compute modules.
- Simulation-Based Training: Use high-fidelity digital twins to simulate rare failure scenarios, ensuring the GenAI assistant provides accurate troubleshooting steps for edge-case mechanical issues.
- Automated Diagnostic Workflows: Develop Generative AI agents that synthesize telematics data to generate prioritized repairs for identified machine faults.
- Unified Data Orchestration: Integrate multi-modal outputs from condition monitoring analytics & asset life history to create a machine-specific context for AI assistant.
- Generative AI & LLMs: Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, specifically using Retrieval-Augmented Generation (RAG)
- Condition Monitoring Algorithms: Deep understanding of Anomaly Detection, Time-Series Analysis, and Predictive Maintenance models.
- Telematics: Experience handling high-frequency IoT sensor data, CAN bus protocols (J1939), and integrating with unified data platforms
- Experience with High performance computing
- Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
- Analytical Thinking: Extensive 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.
- Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
- Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
- Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
- Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets and statistical methods such as statistical process control, etc. (typically 8+ years)
- Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)
- Working experience with heavy equipment engineering or data analysis.
- Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
- Advanced experience with version control / repositories such as GitHub
- Experience operating in an Agile environment
- Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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
About the company
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Data Science Generative Ai