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Publié il y a 4 mois

Senior Software Engineer, Perception (Radar)

@ AeroVect

Toutes ses offres Site Web

Toronto, Ontario

TélétravailTemps plein3+ ans d’expérience
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SIGNAUX

En bref

AeroVect is hiring a Senior Software Engineer for radar perception to build and optimize radar-based detection, clustering and tracking pipelines for ground handling autonomy. The role involves training and deploying radar object detection models, fusing radar with camera and LiDAR, and mentoring junior engineers. It is a full-time position requiring a degree and 3+ years of radar perception experience.

Responsabilités :

  • Develop and optimize radar perception pipelines
  • Train, deploy and monitor radar object detection models
  • Fuse radar data with camera and LiDAR
  • Build radar data collection and evaluation pipelines
  • Architect a secondary perception system with radar as primary modality

Résumé des exigences :

  • Bachelor's or Master's degree in a related field
  • 3+ years of radar perception experience
  • Radar fundamentals including CFAR and beamforming
  • Experience with automotive or industrial radar sensors
  • Python, C++ and ROS2 proficiency

Outils et compétences

ROS2PythonC++CUDAContinental radarTI radarOculii radar
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-07-10
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Robotics, Electrical Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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AeroVect

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

The Airport Automation Company

Description complète de l’entreprise

AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.

Abonnés LinkedIn
5 376
Personnes associées sur LinkedIn
63
Bureaux déclarés
  • 233 E Harris Ave, South San Francisco, California 94080, US
  • Toronto, Ontario, CA
  • Atlanta, Georgia 30308, US
  • Frankfurt, DE
  • New York, 10007, US
Catégories d’activité
  • Air Transportation
  • Robotics
  • Software
  • Logistics
  • Transportation
  • Artificial Intelligence (AI)
  • Aerospace
  • Autonomous Vehicles
  • Manufacturing
Autres noms enregistrés
  • AeroVect
Spécialités
  • Aviation
  • Autonomous Driving
  • Aerospace
  • Transportation
  • Logistics
  • Airport Automation
  • Physical AI
  • and Artificial Intelligence
Le profil indique une agence de recrutement
Non
Investissement total déclaré
27 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.

ChampValeur
SecteurAirlines and Aviation
Taille51-200 employees
Siège socialSouth San Francisco, California
Type d’organisationPrivately Held
Fondée en2020
SpécialitésAviationAutonomous DrivingAerospaceTransportationLogisticsAirport AutomationPhysical AIand Artificial Intelligence
Offres sur Jobsy17
LinkedInVoir la page
Description

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

  • Develop and optimize radar-based perception pipelines - preprocessing, detection, clustering, and tracking

  • Train, deploy, and monitor radar object detection models for ground handling environments

  • Fuse radar data with camera and/or LiDAR for robust multi-modal perception

  • Build and maintain radar data collection, labeling, and evaluation pipelines

  • Architect a deterministic secondary perception system with radar as a primary modality

  • Mentor junior engineers on radar perception best practices

You have

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field

  • 3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking)

  • Deep understanding of radar fundamentals - range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation

  • Experience with automotive or industrial radar sensors (continental, TI, Oculii, or similar)

  • Python, C++, and ROS2 proficiency

We Prefer

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

  • Experience deploying radar models to production

  • Experience developing CUDA kernels

  • Experience fusing radar with camera/LiDAR in a production stack

  • Familiarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)

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