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Caterpillar

Makes heavy machinery, engines and gas turbines

Systems Engineering Opportunities: Mechanical Systems Engineer or Engineering Data Scientist

Mechanical Maintenance and Reliability EngineeringPosted on Nov 10
Full-timePeterborough, UK£41.6k

About the Job

Requirements

  • An engineering or STEM degree and/or relevant experience in an engineering field.
  • Experience with industrial power systems, engines, or machine applications.
  • A systems approach to problem solving and product development.
  • Ability to interrogate data and draw sound engineering conclusions.
  • Good written and verbal communication, with confidence presenting to peers and customers.
  • Ownership and initiative, and ability to work autonomously and as part of a team.

Responsibilities

  • Identify mechanical system integration requirements, cascade Product Objectives to Technical Objectives, and make system-level trade-offs.
  • Create engine system Failure Mode and Effects Analyses (FMEAs) and facilitate system and component Design Verification Plans (DVPs).
  • Plan and manage engine build and test programs at the test facility and in customer applications.
  • Review engine and machine data from validation tests and the field, and support technical issue resolution.
  • Apply data science techniques to large engineering datasets, including time series, to resolve product and business problems.
  • Build visualisations, web apps, and dashboards that put frequently used analytics in engineers’ hands.
  • Package analytics as condition monitors for production and deploy physics-based reduced order models.
  • Communicate and document analytical solutions, and help shape future data infrastructure and tools.

Desired Qualifications

  • Engine design, development, or simulation, including industrial diesel engines.
  • Code development.
  • Planning validation and test requirements, and creating and facilitating Design Failure Mode and Effects Analyses (DFMEAs).
  • Database management and SQL querying.
  • Root cause investigation, Six Sigma, Lean, and continuous improvement.
  • Process transformation using generative artificial intelligence and automation.
  • Proactive reliability methods applied to industrial product development.
  • Drawing decision insights from data analytics, machine learning, and statistics.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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