Solutions & Software Engineer

Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

Job description
We are looking for a skilled Solutions & Software Engineer for the design and development of high performant geo-spatial data processing systems with strong emphasis on geo-spatial algorithms, graph databases and geo-analytics. This role is pivotal in shaping the architecture and core algorithms of advanced Location Based Services (LBS) for traffic management and tolling.

Key Responsibilities

Contribute to the design and implementation of scalable GIS platforms and GNSS based services including the data ingestion, near real-time processing, storage, data analytics and visualization
Lead the design, implementation and refinement of geo-spatial algorithms and optimized data models for geo-queries, map matching, shortest path finding, maps conflation, etc.
Design, develop and refine the probabilistic models, typically used in Hidden Markov Models to deal with GNSS data, based on both, statistical analysis and machine learning
Evaluate and select appropriate technologies for location-based services
Research on data and algorithmic processing
Optimize performance of maps, spatial queries and geo-processing tasks
Develop machine learning models such as transition probability estimation
Collaborate with data scientists, software and QA automation engineers, and domain experts
Gather, analyze, and document functional and technical system requirements
Work closely with development teams to deliver top quality work

Profile

Master’s or PhD in Computer Science, Statistics, Data Science, or related field
Proven experience (3+ years) in system architecture and statistical modeling
Proficiency in programming languages such as Java, Python, SQL
Proficiency in math. Interest in Machine Learning /Deep Learning
Collaborative mindset and ability to work across interdisciplinary teams
Strong communication and technical leadership skills
Very good oral and written English skills

Nice to have:

Experience with ML/DL applied to spatial data.
Understanding of GIS concepts, spatial data structures, coordinate systems, and map projections.
Practical knowhow of geo-spatial libraries.
Experience of real-time data processing and streaming using e.g., Kafka, MQTT.
Working experience with IoT, GPS tracking.

Our offer

Permanent role
Flexible working hours
Hybrid working model (3 days of remote work/week)
30 business days of annual leave
Flexible remuneration plan
An interesting full-time position within a global renowned family owned company.
Challenging limits of mobility for a healthy world without congestion
Space for creating innovative solutions and ideas for our fast growing markets