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Piaggio Fast Forward

Senior Robotics Engineer - Localization

Reposted 9 Days Ago
Easy Apply
Hybrid
Boston, MA
Senior level
Easy Apply
Hybrid
Boston, MA
Senior level
The Senior Robotics Engineer will develop and maintain localization algorithms, collaborate with teams, and utilize data for functionality proofing. This role requires strong communication skills and teamwork.
The summary above was generated by AI

Who We Are: 

Boston-based company Piaggio Fast Forward Inc. (PFF) was founded in 2015 by the Piaggio Group (the Italian manufacturer that created the iconic Vespa scooter). We are on a mission to build technology products that move the way that people move. In order to bring products to market today, PFF is solving the problem of robotic interaction with people in dynamically changing environments. We’re innovators, neighbors and creators with a passion for local living and pushing the limits on urban and business transportation . We support a sustainable mobility ecology with healthy lifestyles, social connectivity and productive work environments available to all, regardless of age or abilities.

The Role: 

We are hiring a Senior Robotics Engineer to join our multidisciplinary engineering team. The ideal candidate is an experienced engineer who is not only a strong team player but can also mentor colleagues. This is an on-site role with the expectations of 5 days a week in the Boston office. The Senior Robotics Engineer will have the opportunity to collaborate across teams while maintaining and building the systems that enable our robots. You will have a major impact on PFF products. This is an individual contributor role with in office requirements in Boston, reporting to the Director, Robotics Engineering. 

Requirements: 

  • Total of 4+ years of robot localization experience with a Bachelor’s degree, 2+ with a Master’s. The degree should be in Computer Science, Engineering or a related subject. 
  • Proficiency with C/C++, Python.
  • Expertise designing and implementing localization algorithms, e.g. SLAM, particle filters, Kalman Filters, etc. 
  • Experience working with a variety of robot sensors, e.g. lidar, stereo cameras, RGB cameras. 
  • Strong Experience with Linux based embedded computers, Nvidia Jetson preferred. 
  • Prior experience designing for commercial products is preferred.
  • Strong written and verbal communication skills. 
  • Strong ability to work within a team environment. 
  • Successful applicants will be asked to show proof that they can legally work in the U.S.

Responsibilities:

  • Develop, test, and maintain robot localization algorithms.
  • Collaborate with multidisciplinary teams to define, design, test, and create autonomous robots.
  • Clearly present and communicate plans and strategies for deliverables.
  • Properly document and test code. 
  • Continually research, discover, evaluate, and implement new technologies and approaches.
  • Effectively use data to prove/disprove functionality.
  • Autonomously task manage and deliver in a timely manner

We like you just the way you are.

Diversity fuels our innovation. Inclusion, belonging, equity, and neurodiversity drives our best-in-class culture. We strive to create workplaces where everyone feels empowered to share ideas, grow at their own pace, and work together towards a shared vision while holding each other to a higher standard. For us, DEI&B is the only way forward.

Employment Eligibility Verification
Piaggio Fast Forward participates in E-Verify, an electronic employment verification program operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA), to verify the employment eligibility of newly hired employees. Piaggio Fast Forward is an E-Verify Employer, and as such, the company will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

For more information about E-Verify, please visit the U.S. Citizenship and Immigration Services (USCIS) website: https://www.e-verify.gov/

Top Skills

C/C++
Kalman Filters
Linux
Nvidia Jetson
Particle Filters
Python
Slam

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