Senior Applied Scientist (ADAS)

TL;DR

Senior Applied Scientist (ADAS): Designing and implementing scalable algorithms for crowd-sourced vehicle trace processing and HD map construction with an accent on geometric evidence, graph-based optimization, and sensor fusion. Focus on building robust, production-ready pipelines that integrate deterministic optimization methods with modern machine learning techniques to power real-time mapping technologies.

Location: Must be based in Amsterdam, The Netherlands (Hybrid: 2 days/week in office required).

Company

hirify.global is a global leader in navigation and mapping technology, currently engineering the world's first real-time, intelligent map for autonomous driving and location-based services.

What you will do

• Design and implement scalable algorithms for map-matching, trace clustering, and drift correction using large-scale vehicle data.
• Formulate and solve lane-centerline extraction and topology inference problems using optimization techniques like linear programming and factor graphs.
• Develop hybrid solutions combining deterministic methods with machine learning models such as GNNs and transformers.
• Architect high-performance, production-ready implementations for deployment on cloud platforms.
• Collaborate with cross-functional teams to integrate trace-processing models into map-making pipelines.
• Stay current with state-of-the-art research in SLAM, geospatial deep learning, and map inference.

Requirements

• Master's degree in computer science, robotics, applied mathematics, or a related field.
• 3-4 years of professional experience as a software engineer.
• Strong proficiency in Python; C++ experience is a plus.
• Hands-on experience with optimization-based estimation, including graph optimization and probabilistic state estimation.
• Experience processing large-scale vehicle trajectory data and sensor fusion.
• Knowledge of SLAM pipelines and modern ML applied to geometric or graph problems.
• Experience with cloud platforms like Azure and containerization with Docker.

Culture & Benefits

• Competitive compensation package with a personal development budget.
• Flexible work policy with a hybrid office/home balance.
• Enhanced parental leave and paid leave for caregiving and volunteering.
• Home office setup budget and monthly allowance.
• Access to e-learning resources like O’Reilly and LinkedIn Learning.
• Inclusive global culture with over 80 nationalities represented.