Senior Staff Software Engineer, Perception

AeroVect

. Architect 3D object detection models, including multimodal approaches using camera, LiDAR, and Radar .

Posted 9/15/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 engineers and lead cross-functional projects in the development of autonomous systems.

Highest-signal resume keywords

2D/3D Object DetectionPython ProficiencyPerception System ArchitectureDeep LearningData Collection and Evaluation Metrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object Detection ModelsMultimodal ApproachesData Collection PipelinesModel Training and DeploymentSensing and PreprocessingDetection and TrackingAutonomous Vehicle KnowledgeRoboticsDeep LearningComputer Science

Soft Skills

MentoringCross-Functional LeadershipProblem Solving

Certifications & Qualifications

Master’s or PhD in Computer ScienceMaster’s or PhD in RoboticsMaster’s or PhD in Deep Learning

Industry Keywords

CVPRICRANeurIPSIJCAIAAAIAutonomyGround HandlingAirlinesGround Service Providers

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Architect 3D object detection models, including multimodal approaches using camera, LiDAR, and Radar
Build and maintain data collection and evaluation metrics pipelines
Develop a proprietary multimodal 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
Transform ground handling through autonomy for airlines and ground service providers

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
Experience architecting perception systems (detection and tracking) preferred
Full-stack autonomous vehicle knowledge preferred
Publications in major conferences such as CVPR, ICRA, NeurIPS, IJCAI, or AAAI preferred

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account AeroVect Website LinkedIn All 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. Senior Staff Software Engineer, Perception 🔥 21 minutes ago 🇬🇧 United Kingdom – Remote ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer 👻 Ghost score 25% Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Architect 3D object detection models, including multimodal approaches using camera, LiDAR, and Radar
Build and maintain data collection and evaluation metrics pipelines
Develop a proprietary multimodal 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
Transform ground handling through autonomy for airlines and ground service providers 🎯 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
Experience architecting perception systems (detection and tracking) preferred
Full-stack autonomous vehicle knowledge preferred
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