• Lead Engineer

    Job Locations NL-Eindhoven
    Requisition ID
    Research & Software Developmnt
  • Who are we?

    HERE Technologies, the Open Location Platform company, enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, we empower our customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit

    At HERE TECHNOLOGIES, we are inventing the future.

    There has never been an inflection point quite like this. A new digital era, where humans and technology fundamentally reconfigure their relationship to empower every aspect of our surroundings. Where we go from ride-sharing to self-driving. From street-maps to an index-of-reality. Welcome to the autonomous world.

    You can be a part of this new world with a career at HERE TECHNOLOGIES.

    HERE is seeking highly motivated Lead Software Engineer with interest and demonstrated experience in Big Data, knowledge management and Advanced Analytics.

    The ideal candidate would possess firsthand knowledge of modern infrastructure, deployment tooling, monitoring, centralized logging, cloud environments (AWS, Azure) and their service offerings. The team is small and flexible, looking for candidates that are comfortable building end to end solutions for our analytics and research customers.

    The ideal candidate would be open to learning and contributing to any aspect of the end to end application or data lifecycle. The position is dynamic in nature and involves coding applications, scripting automation, deploying, maintaining components and visualizing large datasets.

    The candidate will be exposed to leading edge technologies and research for machine learning, analytics, distributed devices and IoT.

    At HERE you will be part of an advanced engineering team tasked with delivering breakthrough and disruptive innovation powering HERE's future business.

    What's the role?

    • Design, and implement high performance and highly scalable and available platform components
    • Requirements definition, data modeling, design and code reviews
    • Work effectively with minimal guidance to design, develop, and troubleshoot applications
    • Maintain a broad view of emerging technologies and contribute in roadmap definition
    • Create, Deploy and support processes and frameworks that support data science and research team members in analytics and exploration
    • Develop backend and web-based applications to support advance analytics (machine learning and deep leaning)
    • Deliver automated solutions for deployment and management of large analytical experiments

    Who are you?

    • 5+years of experience in a software/data engineering role
    • Solid knowledge of object-oriented and functional programming principles
    • Solid knowledge of machine learning and deep learning. Interest in machine-learning deployment and model lifecycle management
    • Knowledge of distributed-system architecture and systems (Spark, Flink, Kafka, Cassandra)
    • Proven experience in designing APIs for data and knowledge management and/or integration projects
    • Proven experience developing production-quality server-side applications using languages such as Java, Scala, C++ or Go
    • Proficiency scripting languages such as Bash or Python
    • Experience with cloud platform such as AWS or Azure

    Some of the following would be ideal as well:

    • Experience with machine-learning frameworks (e.g. Tensorflow, PyTorch, Keras, …)
    • Previous work with GPU-accelerated computing
    • Familiarity with containers and orchestrators (e.g. Docker, Docker Swarm, Kubernetes)
    • Understanding of geospatial models, analysis and visualization
    • Data-driven development paradigms, A/B testing etc.

    Examples of activities you will work on:

    • Deliver automated solutions for deployment and management of large analytical experiments
    • Maintain a broad view of emerging technologies and contribute in roadmap definition
    • Design, and implement high performance and components for machine learning and deep leaning

    Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets.






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