aerovect

Senior Staff Software Engineer, Perception

Listed by employer · Checked

Posted within 60 days ·

  • remote
  • FullTime
  • Engineering
  • Remote
  • Italy
  • Poland
  • Stockholm
  • London
  • Berlin
  • Amsterdam
  • Paris
  • San Francisco
  • Frankfurt
  • United Kingdom (Remote)
  • Munich
  • Dublin
Work arrangement
remote
Employment
FullTime
Stated compensation
Not specified
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Requirements

3 with evidence6 unclear or unstated
Remote policy
remote
“Provider workplace type: remote”
From employer posting metadata
Geographic scope
IT, PL, GB
“Provider location: Italy • Provider location: Poland • Provider location: United Kingdom (Remote)”
From employer posting metadata
Minimum experience (years)
7
“7+ years of focused experience in architecting and deploying 2D/3D object detection models.”
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Employment type
FullTime
7 fields not stated in this posting
Employer sponsorship
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified
Compensation
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com. You will
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Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar). Build and maintain data collection and evaluation (metrics) pipeline. Develop a proprietary multi-modal dataset for training and evaluation. Train, deploy and monitor 2D/3D object detection models to production. Build and execute a roadmap for the perception system Mentor junior engineers about best practices. You have Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. 7+ years of focused experience in architecting and deploying 2D/3D object detection models. Worked on entire perception stack (sensing, preprocessing, detection & tracking) Python proficiency The ability to identify gaps and lead cross functional projects We Prefer PhD in Computer Science, Robotics, or a related discipline Full stack AV knowledge Experience in architecting perception systems (detection & tracking) Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
Original formatting and links

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

You will

  • Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).

  • Build and maintain data collection and evaluation (metrics) pipeline.

  • Develop a proprietary multi-modal dataset for training and evaluation.

  • Train, deploy and monitor 2D/3D object detection models to production.

  • Build and execute a roadmap for the perception system

  • Mentor junior engineers about best practices.

You have

  • Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.

  • 7+ years of focused experience in architecting and deploying 2D/3D object detection models.

  • Worked on entire perception stack (sensing, preprocessing, detection & tracking)

  • Python proficiency

  • The ability to identify gaps and lead cross functional projects

We Prefer

  • PhD in Computer Science, Robotics, or a related discipline

  • Full stack AV knowledge

  • Experience in architecting perception systems (detection & tracking)

  • Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc

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