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Simulation Engineer

Microsoft is a global technology company that empowers individuals and organizations to achieve more through innovative cloud services and software solutions.
$98,300 - $193,200
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Enterprise SaaS · Cloud
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Description For Simulation Engineer

Microsoft's Cloud Operations & Innovation (CO+I) is seeking a Simulation Engineer to play a crucial role in delivering core infrastructure and foundational technologies for Microsoft's cloud services. This position involves developing and maintaining datacenter models and simulations to analyze and optimize operations.

Key responsibilities include:

  • Applying advanced statistical techniques to identify trends and anomalies in datacenter performance
  • Collaborating with cross-functional teams to implement data-driven improvements
  • Conducting rigorous testing and validation of simulation models
  • Integrating real-world data sources for enhanced accuracy
  • Analyzing simulation output to extract insights and recommendations
  • Performing scenario analysis and optimization studies
  • Maintaining comprehensive documentation and preparing detailed reports

The ideal candidate should have:

  • A strong background in Data Science, Mathematics, Statistics, Operations Research, or Computer Science
  • Experience with datacenter design tools, automation technologies, and performance analysis
  • Proficiency in linear models, Monte Carlo simulations, or discrete event simulations
  • Familiarity with hierarchical models, knowledge graphs, Digital Twins, or IoT implementations

Microsoft offers a competitive salary range of $98,300 - $193,200 per year, with higher ranges for specific locations like the San Francisco Bay area and New York City. The company provides industry-leading healthcare, educational resources, savings and investment options, parental leave, and opportunities for professional growth and networking.

Join Microsoft's diverse and inclusive work environment, where you'll contribute to empowering billions of customers and businesses worldwide through cutting-edge cloud technology and infrastructure optimization.

Last updated 6 months ago

Responsibilities For Simulation Engineer

  • Develop and maintain datacenter models and simulations to analyze and optimize datacenter operations
  • Apply advanced statistical techniques to identify trends, patterns, and anomalies in datacenter performance
  • Collaborate with operations, design, and automation teams to implement data-driven improvements
  • Conduct rigorous testing, validation, and verification of simulation models
  • Integrate real-world data sources into simulation models for enhanced accuracy and realism
  • Analyze simulation output data to extract meaningful insights and recommendations
  • Perform scenario analysis and optimization studies using simulation models
  • Maintain comprehensive documentation of simulation models, methodologies, and results
  • Prepare detailed reports, presentations, and documentation for internal stakeholders and clients

Requirements For Simulation Engineer

Python
  • Doctorate in Data Science, Mathematics, Statistics, Operations Research, Computer Science, or related field OR Master's Degree with 1+ year(s) data-science experience OR Bachelor's Degree with 2+ years data-science experience
  • 1+ years' experience calibrating simulation models with real data
  • Strong background in advanced modeling and statistics for large-scale projects
  • Proficiency using linear models, Monte Carlo simulations, or discrete event simulations
  • Experience with datacenter design tools, automation technologies, and performance analysis tools
  • Familiarity with hierarchical models, knowledge graphs, Digital Twins, or IoT implementations
  • Prior experience with reliability engineering or advanced time series analytics (preferred)

Benefits For Simulation Engineer

Medical Insurance
Education Budget
Parental Leave
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Opportunities to network and connect

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