Senior Staff Software Engineer, Perception

AeroVect

. Architect 3D object detection models, including multi-modal approaches using camera, LiDAR, and Radar .

Posted 10/23/2026full-timeRemote • ItalySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in architecting and deploying 2D/3D object detection models, with a strong foundation in Python and experience across the perception stack. Proven ability to mentor junior engineers and lead cross-functional projects in the field of autonomous vehicles and robotics.

Highest-signal resume keywords

2D/3D Object Detection ModelsPython ProficiencyPerception Systems ArchitectureMulti-Modal Dataset DevelopmentMentoring Junior Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

3D Object DetectionMulti-Modal ApproachesData Collection PipelinesEvaluation MetricsModel Training and DeploymentSensing and PreprocessingDetection and TrackingRoboticsDeep LearningFull-Stack Autonomous Vehicle Knowledge

Soft Skills

LeadershipCross-Functional CollaborationMentoring

Certifications & Qualifications

Master’s or PhD in Computer ScienceRoboticsDeep Learning

Industry Keywords

Autonomous DrivingPerception StackCVPRICRANeurIPSIJCAIAAAI

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Architect 3D object detection models, including multi-modal approaches using camera, LiDAR, and Radar
Build and maintain data collection and evaluation metrics pipelines
Develop a proprietary multi-modal dataset for training and evaluation
Train, deploy, and monitor 2D/3D object detection models in production
Build and execute a roadmap for the perception system
Mentor junior engineers on best practices

Requirements

What you’ll need

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
Experience across the entire perception stack: sensing, preprocessing, detection, and tracking
Python proficiency
Ability to identify gaps and lead cross-functional projects
Full-stack autonomous vehicle knowledge preferred
Experience architecting perception systems preferred
Publications in major conferences such as CVPR, ICRA, NeurIPS, IJCAI, or AAAI preferred
Application form asks whether the applicant has 5+ years building perception systems for autonomous driving and/or robotics