May Mobility

Transforming cities through autonomous technology to create a safer, greener, more accessible world.

Senior Autonomy Engineer – Localization

TranslatorTranslatorFull TimeRemoteTeam 51-200Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

21 hours ago

Salary

$160K - $200K / year

Bachelor Degree5 yrs expEnglish

Job Description

• Design, implement, test, and optimize state-of-the-art localization software and systems that maintain high confidence in challenging urban, suburban, and rural scenarios, including GPS-denied urban canyons, foliage, and areas with high moving agent density. • Lead and participate in team code quality initiatives, including comprehensive design and code reviews. • Take initiative to understand every aspect of the May vehicle architecture - hardware, software, networking, configurations - all of it. • Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components. • Troubleshoot and support solutions to challenging field issues. • Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility. • Design, build, and maintain the May autonomy system architecture and cross functional autonomy components. • Assess and develop approaches that improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage). • Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance. • Support other autonomy engineers in designing and integrating their components with the full May system.

Job Requirements

  • Minimum of 5 years of industry experience in autonomous robotics engineering, with a heavy focus on State Estimation, Localization, or SLAM.
  • Strong programming skills in C/C++
  • Experience taking components and systems from initial research/algorithm design through the full product lifecycle.
  • Demonstrated strong troubleshooting and analytic skills at the system and subsystem level.
  • Strong background in probabilistic robotics, multi-modal sensor fusion, and sensor calibration.
  • Demonstrated ability to communicate effectively and clearly about complex system behaviors, structures, and issues. Ability to explain why a localization module failed in a specific scenario to both a technical peer and a non-technical stakeholder.
  • Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.

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