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Modeling and Simulation Engineer

Maven Robotics
Posted 9 days ago, valid for 18 days
Location

San Francisco, CA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are seeking a Modeling & Simulation Engineer to enhance our robot models and simulation pipeline.
  • Candidates must have an MS or PhD in engineering, mathematics, computer science, or a related field, along with experience in mathematical modeling of complex dynamic systems.
  • The role requires the ability to manage large development projects and collaborate with various teams under tight deadlines.
  • Familiarity with robotic simulation environments and experience in applied optimization, mechanical contact modeling, and GPU acceleration are preferred but not mandatory.
  • The position offers a salary of $120,000 to $150,000, and candidates should have at least 3 years of relevant experience.

Role Description

We are looking to recruit an exceptional Modeling & Simulation Engineer to work on our robot models, environment models, and simulation pipeline.

In this role you will:

  • Define simulation requirements
  • Develop performant, cutting-edge mathematical models of robots, manipulators and the scenes in which they operate
  • Strike the perfect balance between fidelity and computational complexity
  • Integrate simulation-based assessment into CI/CD pipelines in a way that scales
  • Make simulation an indispensable part of our entire design, development and deployment process

You will be working closely with the Simulation, Motion Planning & Controls, Field Operations and Intelligence teams.

Qualifications

Must-have:

  • MS or PhD in engineering, mathematics, computer science or a related discipline
  • Experience in mathematical modeling of complex dynamic systems
  • Ability to take ownership of a large, strategically important development project and drive its success
  • Willingness to step in and support other teams when we have tight deadlines and problems to solve

Nice-to-have:

  • Familiarity with environments for robotic simulation including Isaac Sim
  • Experience in some combination of:
    • applied optimization
    • modeling of mechanical contact
    • creation of detailed 3D world models
    • GPU acceleration of physics simulations
    • deployment of numerically-intensive simulations to cloud compute platforms
    • integration of simulation tests into CI/CD pipelines
    • creation of simulation test cases from real-world data
    • simulation for HiL testing

 

 




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