Simulation Solutions Engineer

Company : Experis
Location : San Jose, CA
Posted Date : 15 September 2025
Job Details
Work Location: San Jose, CA / Atlanta, GA (Preferred) / Remote (Pacific or Central Timezone preferred)
Remote: Yes
Travel & Expenses: Paid by client
Role Description
As a Simulation Solutions Engineer , you will join a global team focused on accelerating and innovating data center operations by developing and deploying cutting-edge simulation solutions.
Job Responsibilities
- Develop and implement advanced discrete event simulation models using FlexSim, AnyLogic , and optimization solvers.
- Conduct in-depth system behavior analysis under technical and business constraints.
- Collaborate with the Simulation Lead and clients to define project scope and transform complex simulation needs into actionable insights.
- Integrate new and existing system simulation frameworks, models, and roadmaps.
- Analyze simulation output to identify optimal system configurations and performance improvements.
- Present findings and progress to stakeholders and subject matter experts (SMEs).
- Partner with cross-functional Cloud organizations on productivity and cost-saving initiatives.
- Define success metrics and conduct post-implementation performance analyses.
- Deliver robust, high-quality models on schedule.
- Manage multiple concurrent projects while proactively communicating milestones and risks.
- Contribute to a reusable, scalable simulation model library to streamline future development.
- Education: Bachelor's or Master's in Operations Research, Industrial Engineering, or related quantitative field (e.g., Computer Science, Statistics, Information Systems).
- Experience:
- 5+ years in systems engineering.
- 1-3 years in technical program management, modeling & simulation.
- 1-3 years in operations or supply chain.
- Proven record of end-to-end development and analysis of complex discrete event simulation models.
- 5+ years in systems engineering.
- Skills:
- Strong foundation in statistical principles and simulation methodologies.
- Hands-on experience with FlexSim and AnyLogic .
- Proficiency in scripting languages (e.g., Python, JavaScript ).
- Excellent analytical and problem-solving skills.
- Strong foundation in statistical principles and simulation methodologies.
- Experience with 3D visualization platforms .
- Background in software engineering .
- Expertise in simulation modeling , data analytics , and operations research .
- Understanding of the product management lifecycle and working with design/development teams.
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