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Este empleo ha caducado en Indeed
Solutions & Software Engineer
Solutions & Software Engineer
Descripción completa del empleo
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