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HERE Technologies

PaaS for location-based solutions

AV Simulation Domain Expert Senior Principal

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • An M.S. or Ph.D. in Computer Science, Artificial Intelligence, Robotics, Machine Learning, or a related field is required.
  • At least 10 years of experience in machine learning, autonomous systems, simulation, robotics, or related disciplines, including hands-on development and deployment of AI models, is required.
  • Deep expertise in generative AI, including diffusion models, generative video systems, transformer architectures, world models, or related foundation model technologies, is required.
  • Strong proficiency in Python and PyTorch, with experience building scalable research and production machine learning pipelines, is required.
  • Hands-on experience with autonomous vehicle simulation platforms such as CARLA, NVIDIA Drive Sim, or equivalent environments is required.
  • A strong understanding of OpenDRIVE, OpenSCENARIO, ASAM OpenX standards, scenario-based validation, and sim-to-real methodologies is required.
  • Experience evaluating synthetic data quality for machine learning applications, including controllability, diversity, coverage, label fidelity, and downstream model effectiveness, is required.

Responsibilities

  • Lead the technical strategy and development of map-grounded world foundation models, using HERE map and drive data to generate realistic and controllable driving scenarios.
  • Train, fine-tune, and deploy advanced generative AI models, including diffusion models, transformer-based world models, and generative video architectures for autonomous driving applications.
  • Drive proof-of-concept initiatives with strategic technology partners, establish measurable success criteria, and translate research outcomes into actionable business recommendations.
  • Connect generative AI workflows with autonomous vehicle simulation platforms such as CARLA, NVIDIA Drive Sim, and other industry-standard environments to support training and validation use cases.
  • Define and implement quality frameworks that evaluate synthetic data utility, controllability, coverage, and downstream model performance.
  • Collaborate with machine learning, perception, planning, simulation, and product teams to improve real-world autonomous driving performance through synthetic data solutions.
  • Advise engineering and business leaders, translating AI concepts into strategic opportunities and product roadmaps.

Desired Qualifications

  • Experience with NVIDIA Cosmos, Cosmos-Transfer, or other world foundation model platforms.
  • A background in reinforcement learning, end-to-end driving systems, or multi-agent simulation.
  • Experience in automotive, robotics, or other safety-critical domains, including familiarity with ISO 26262 and SOTIF concepts.
  • Contributions to research publications, patents, open-source AI projects, or industry-leading innovation initiatives.
  • Experience with Unreal Engine, Unity, sensor simulation, or large-scale training infrastructure.

About the Company

HERE Technologies

PaaS for location-based solutions

HERE Technologies provides a location-based Platform-as-a-Service (PaaS) for automotive, transportation, logistics, and enterprise customers. Its offerings are scalable, customizable location services that developers can integrate into apps and systems via APIs and SDKs, enabling features like maps, routing, geocoding, and traffic insights. The company differentiates itself through global reach, industry-focused solutions, and a flexible subscription/licensing model that supports custom deployments and integrations. Its goal is to help businesses build location-enabled applications and optimize operations by delivering reliable, adaptable location data and services at scale.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Eindhoven, Netherlands
Founded
1985

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