Senior Staff Software Engineer, Perception

🔥 12 hours ago

🇮🇹 Italy – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AeroVect

WebsiteLinkedInAll Job Openings

11 - 50 employees

📦 Logistics

💼 Consulting

🚀 Aerospace

💰 Seed Round on 2022-07

Logistics • Consulting • Aerospace

AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.

📋 Description

• 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

• 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