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How Did You Hear About Us?

• How did you learn about this opportunity?✱

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Are you authorized to work in the U.S.?

• Are you authorized to work in the United States?✱

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• Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the U.S.?✱

  • Yes
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  • Not applicable
• Are you currently in a period of Optional Practical Training (OPT)?✱

  • Yes
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  • Not applicable
• Do you hold a degree in a Science, Technology, Engineering, or Mathematics (STEM) field from a U.S. accredited institution that would allow you to apply for a 24-month OPT extension?✱

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1.74 Research Scientist - Multi Robot SLAM

• 1. Describe the key challenges in designing a SLAM system that supports multiple robots operating in a GPS-denied environment. How would you architect the system to enable shared mapping and distributed localization under communication constraints?
• 2. How would you incorporate uncertainty into a multi-robot SLAM pipeline, particularly when fusing asynchronous and potentially noisy sensor data from multiple agents?
• 3. Explain how pose graph optimization is used in SLAM and discuss how you would handle loop closure in a multi-agent scenario. What strategies could you use to ensure robustness against false-positive matches?
• 4. You're deploying a new SLAM module to a ground robot platform with limited compute (low-SWaP). What steps do you take to profile and optimize the system for real-time operation? What trade-offs might you consider?
• 5. Describe how you would design and execute a field test to benchmark a new multi-robot SLAM algorithm. What metrics would you collect, and how would you analyze the results to iterate on the design?

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