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About the Role

HERE Technologies is developing generative AI capabilities to create synthetic driving worlds using detailed map and drive data. This role bridges deep learning expertise in world foundation models and generative video with hands-on AV simulation experience, focusing on creating useful synthetic data for training and validating perception and planning stacks.

Responsibilities

• Drive technical direction for map-grounded world foundation models, conditioning generative video/world models on map data, drive data, scenario semantics, trajectories, agent behaviours, weather, and lighting.
• Train, fine-tune, and adapt generative models for driving scenario generation with full ownership of the ML lifecycle.
• Evaluate and extend state-of-the-art models for AV training data generation.
• Lead POC initiatives for map-grounded synthetic scenario generation with key technology partners, defining success criteria beyond visual realism.
• Deliver GO / PIVOT / NO-GO recommendations backed by quantitative evidence.
• Bridge generative world models with classical simulation stacks for physics-grounded scenarios.
• Author and programmatically generate OpenSCENARIO / OpenDRIVE definitions.
• Drive sim-to-real strategy: measure domain gap, identify failure modes, and define acceptable thresholds.
• Define "good enough" synthetic data for AV perception and planning, considering photorealism, label consistency, and controllability.
• Establish validation frameworks combining objective metrics and expert evaluation protocols.
• Specify sensor fidelity requirements.
• Interface with ML research, perception, and planning teams to ensure synthetic data measurably improves real-world model performance.
• Translate business requirements into technical feasibility assessments for product and executive stakeholders.

Requirements

• Proven end-to-end model training experience with clear ownership across data, training, evaluation, and iteration.
• Expertise in generative video, world models, or related generative AI — specifically diffusion models, latent video models, and/or transformer-based world models.
• Experience with high-dimensional spatio-temporal data (video, multi-sensor fusion, driving data).
• Strong Python and PyTorch fundamentals; track record of taking ML models from research to production under real-world constraints.
• 5+ years spanning AV simulation, AV perception/ML, or robotics simulation — with meaningful exposure to both simulation platforms and ML model development.
• Hands-on experience with at least one major simulation platform: CARLA, NVIDIA Drive Sim, or equivalent.
• Fluency in OpenDRIVE and OpenSCENARIO: able to author and generate scenario definitions programmatically.
• Understanding of AV testing workflows, ASAM OpenX standards, ISO 34502, and what scenarios stress-test perception and planning systems.
• Ability to evaluate synthetic data for distribution diversity, label consistency, edge-case coverage, and downstream task performance.
• Experience with sim-to-real transfer, domain adaptation, or closing the domain gap measurably.
• Clear point of view on trade-offs between photorealism, label accuracy, controllability, and computational efficiency.
• Candidates will be required to successfully complete a pre-employment screening process.
• Pre-employment screening will involve employment, education, and criminal verification if applicable.

Skills

• Deep Learning
• Generative Models
• World Foundation Models
• Generative Video
• Transformers
• AV Simulation
• Python
• PyTorch
• CARLA
• NVIDIA Drive Sim
• OpenSCENARIO
• OpenDRIVE
• ASAM OpenX standards
• ISO 34502
• Sim-to-real transfer
• Domain adaptation

Location

• Remote
• Hybrid

Work Type

• Hybrid

Experience Level

• 5+ years spanning AV simulation, AV perception/ML, or robotics simulation

About the Company

• HERE Technologies is a location data and technology platform company.
• We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
• At HERE we take it upon ourselves to be the change we wish to see.
• We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives.
• If you are inspired by an open world and driven to create positive change, join us.
• Learn more about us on our YouTube Channel.

Equal Opportunity

• HERE is an equal opportunity employer.
• We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.