Advanced Systems Engineer

3 weeks ago


San Francisco, California, United States Unreal Gigs Full time
Unreal GigsSimulation Engineer Job Description

We are seeking a highly skilled Simulation Engineer to join our team at Unreal Gigs. As a Simulation Engineer, you will be responsible for designing and developing simulation models that replicate real-world systems, processes, or physical behaviors.

  • Estimated Salary: $120,000 - $180,000 per year
Job Responsibilities:
  1. Design and Develop Simulation Models: Create and implement simulation models using tools like MATLAB, Simulink, or Ansys to develop simulations that align with project goals and industry standards.
  2. Conduct System and Process Simulations: Run simulations to test designs, predict system behavior, and optimize performance. Analyze results to inform design decisions and identify areas for improvement or further testing.
  3. Collaborate on Virtual Prototyping and Testing: Work closely with design and engineering teams to create virtual prototypes, enabling cost-effective testing and analysis. Help validate design concepts before physical testing, reducing development time and costs.
  4. Optimize Models for Accuracy and Performance: Calibrate simulation models to improve accuracy, reliability, and computational efficiency. Refine parameters and settings to ensure realistic outcomes that meet project requirements.
  5. Validate Simulation Data with Real-World Testing: Compare simulation results with physical tests to validate model accuracy and consistency. Use feedback from field testing to fine-tune models and increase predictive reliability.
  6. Document Simulation Processes and Findings: Maintain detailed documentation of simulation models, methodologies, and results. Ensure that findings are accessible for future reference, analysis, and potential replication.
  7. Stay Updated on Simulation Tools and Techniques: Continuously research advancements in simulation technology, tools, and methodologies. Incorporate new techniques and tools to improve model quality and efficiency.


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