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We make a unified map designed for every moving vehicle
The Role
Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning.
Summary Generated by Built In
What's the role?
At HERE Technologies, we are transforming the future of autonomous driving by combining one of the world's richest sources of map and drive data with cutting-edge generative AI. As ADAS and Automated Driving systems increasingly rely on model-driven intelligence, we are building the next generation of AI-powered spatial intelligence platforms that create scalable, high-quality synthetic driving environments for training and validation.
We are seeking a highly experienced AI scientist and technical leader who can bridge the worlds of generative AI and autonomous vehicle simulation. In this role, you will lead the development of map-grounded world foundation models, enabling the creation of realistic, controllable, and measurable synthetic driving scenarios that accelerate the next generation of perception and planning systems.
As a Senior Principal AI Scientist, you will:
Who are you?
You are a recognized expert in both deep learning and autonomous vehicle simulation, with a proven record of turning advanced AI research into production-ready solutions. You are equally comfortable training large-scale world models, designing simulation-based validation strategies, and influencing technical direction across multidisciplinary teams.
You bring:
Nice to have:
What sets you apart:
Who are we?
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.
As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation. HERE can convert its map and drive data into a scalable AI model-creation platform - capturing significant value from training, validation and next generation ADAS/AD performance.
It's the growth of HERE's AI-model creation platform that turns maps and drive data into reusable spatial intelligence - powering scalable training, validation, and next generation ADAS/AD performance.
At HERE Technologies, we are transforming the future of autonomous driving by combining one of the world's richest sources of map and drive data with cutting-edge generative AI. As ADAS and Automated Driving systems increasingly rely on model-driven intelligence, we are building the next generation of AI-powered spatial intelligence platforms that create scalable, high-quality synthetic driving environments for training and validation.
We are seeking a highly experienced AI scientist and technical leader who can bridge the worlds of generative AI and autonomous vehicle simulation. In this role, you will lead the development of map-grounded world foundation models, enabling the creation of realistic, controllable, and measurable synthetic driving scenarios that accelerate the next generation of perception and planning systems.
As a Senior Principal AI Scientist, you will:
- Lead the technical strategy and development of map-grounded world foundation models, leveraging 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, establishing measurable success criteria and translating research outcomes into actionable business recommendations.
- Bridge generative AI workflows with AV 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 across machine learning, perception, planning, simulation, and product teams to ensure synthetic data solutions deliver measurable improvements in real-world autonomous driving performance.
- Serve as a trusted technical advisor to engineering and business leaders, translating complex AI concepts into strategic opportunities and product roadmaps.
Who are you?
You are a recognized expert in both deep learning and autonomous vehicle simulation, with a proven record of turning advanced AI research into production-ready solutions. You are equally comfortable training large-scale world models, designing simulation-based validation strategies, and influencing technical direction across multidisciplinary teams.
You bring:
- Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, Robotics, Machine Learning, or a related field.
- 10+ years of experience in machine learning, autonomous systems, simulation, robotics, or related disciplines, including significant hands-on experience developing and deploying AI models.
- Deep expertise in generative AI, including diffusion models, generative video systems, transformer architectures, world models, or related foundation model technologies.
- Strong proficiency in Python and PyTorch, with experience building scalable research and production ML pipelines.
- Hands-on experience with autonomous vehicle simulation platforms such as CARLA, NVIDIA Drive Sim, or equivalent simulation environments.
- Strong understanding of OpenDRIVE, OpenSCENARIO, ASAM OpenX standards, scenario-based validation, and sim-to-real methodologies.
- Experience evaluating synthetic data quality for machine learning applications, including controllability, diversity, coverage, label fidelity, and downstream model effectiveness.
Nice to have:
- Experience with NVIDIA Cosmos, Cosmos-Transfer, or other world foundation model platforms.
- 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.
What sets you apart:
- You thrive at the intersection of research and execution, translating innovation into real-world impact.
- You can communicate effectively with AI researchers, simulation engineers, product managers, and executive stakeholders.
- You are hands-on, data-driven, and focused on measurable outcomes rather than theoretical perfection.
- You bring a systems-thinking mindset, understanding how decisions in data generation affect downstream AI performance.
- You are passionate about building technology that advances the future of autonomous mobility.
The expected base salary range for this position is $170,600 to $250,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance.
Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies .
As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.
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.
Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.
#LI-SA3
Who are we?
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.
As ADAS/AD moves towards model-driven intelligence, industry value is extending from map delivery to model training and validation. HERE can convert its map and drive data into a scalable AI model-creation platform - capturing significant value from training, validation and next generation ADAS/AD performance.
It's the growth of HERE's AI-model creation platform that turns maps and drive data into reusable spatial intelligence - powering scalable training, validation, and next generation ADAS/AD performance.
Skills Required
- Proven experience training deep learning models end-to-end with ownership across data, training, evaluation, and iteration
- Expertise in generative video, world models, or related generative AI research/engineering
- Deep working knowledge of diffusion models, latent video models, and/or transformer-based world models
- Experience with high-dimensional temporal or spatio-temporal data (video, multi-sensor fusion, driving data)
- Strong Python and PyTorch engineering fundamentals
- Demonstrated ability to take ML models from research into production, addressing quality and safety requirements
- 5+ years combined experience spanning AV simulation, perception/ML for AVs, or robotics simulation
- Hands-on experience with at least one major simulation platform (CARLA, NVIDIA Drive Sim, or equivalent)
- Fluency with OpenDRIVE and OpenSCENARIO and ability to author/generate scenario definitions programmatically
- Understanding of AV testing workflows, scenario-based validation, ASAM OpenX standards, and awareness of ISO 34502
- Ability to evaluate synthetic data for ML training utility, distribution diversity, label consistency, and downstream performance
- Experience with synthetic-to-real transfer, domain adaptation, and measuring/closing sim-to-real gaps
- Clear point of view on trade-offs between photorealism, label accuracy, controllability, and computational efficiency
- Hands-on experience with NVIDIA Cosmos, Cosmos-Transfer, or comparable world foundation models
- Reinforcement learning experience where it measurably improved real-world performance
- Experience with end-to-end driving models or automotive safety-critical ML deployment (ISO 26262, SOTIF awareness)
- Game engine experience (Unreal, Unity) for rendering and sensor simulation pipelines
- Experience with PyTorch Lightning or similar large-scale training infrastructure
What the Team is Saying
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Data Operations Project Lead
HERE Technologies Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time-away programs are broad, featuring Volunteer Time Off and a formal Sabbatical Policy. Generous vacation/holiday allowances and discretionary PTO in the U.S. are also highlighted.
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Flexible Benefits — Flexible work is a standout, with a hybrid ‘Flexi Work Options’ model, extra work-from-home days, a home-office allowance, and the ability to work from different offices or locations. These elements provide notable work–life balance support.
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Healthcare Strength — Core health coverage is comprehensive, including medical, dental, vision, life/disability insurance, and mental-health/EAP support. Healthcare offerings are presented as part of a well-rounded total rewards package.
HERE Technologies Insights
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The Company
What We Do
HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry, we also work with leading companies across a wide range of industries, including transport and logistics, mobility, manufacturing and retail and the public sector.
Why Work With Us
At HERE, we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity, creativity and collaboration and we're always looking for opportunities to grow it further.
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HERE Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
2 days a week
