Building useful simulation is a systems problem as much as a modeling problem. Scenarios must be represented consistently, data must move efficiently, experiments must be reproducible and results must be measurable at scale.
In this proposed positioning, you will build software that connects HERE map and drive data with simulation, synthetic-data and evaluation workflows. You will help turn complex inputs into reliable scenarios and production-grade pipelines used by AI and engineering teams.
The work sits close to real technical outcomes: faster experimentation, broader scenario coverage and stronger confidence in systems designed for the physical world.
What will you do?- Build scalable services and pipelines for simulation scenarios, synthetic data, experiment execution and results analysis.
- Develop APIs and data models that connect maps, trajectories, agents, environmental conditions and simulation outputs.
- Integrate with simulation and scenario ecosystems while creating reliable internal abstractions.
- Improve throughput, reproducibility, observability and performance across distributed workloads.
- Create automated testing and validation for scenario definitions, data transformations and system behavior.
- Partner with simulation experts, data scientists and ML engineers to translate research needs into durable software.
- Own features from design through deployment, monitoring and iteration.
You are a strong systems engineer who is energized by simulation, spatial data and software that models real-world behavior.
- Strong software-engineering experience in Python, C++, Java, Go or another relevant systems/backend language.
- Experience building distributed services, data-intensive applications or simulation infrastructure.
- Strong knowledge of API design, data modeling, testing and production operations.
- Experience with cloud infrastructure, containers and CI/CD practices.
- Ability to reason about complex data flows, performance bottlenecks and reproducibility.
- Strong collaboration skills across applied science, simulation and product engineering.
- Experience with CARLA, NVIDIA DRIVE Sim, OpenSCENARIO, OpenDRIVE or related tooling.
- Experience with geospatial data, trajectories, sensor data or 3D environments.
- Familiarity with synthetic-data generation or ML training and evaluation loops.
- Experience with GPU-backed or large-scale batch workloads.
The expected base salary range for this position is $130,000 to $140,000 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-AG3
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.
Skills Required
- Master's or PhD in Computer Science, AI, Machine Learning, or related field.
- 3-5 years of experience in deep learning, computer vision, or multimodal AI.
- Strong software engineering background in backend systems, data pipelines, ML platforms, distributed workflows, or production services.
- Experience with Python services, cloud infrastructure, APIs, and artifact-oriented pipelines.
- Familiarity with AWS compute, storage, batch-processing, and deployment patterns.
- Good systems judgment and ability to build durable, production-ready platforms without overengineering.
- Comfortable operating in a small team where speed and clarity matter.
- Experience supporting GPU inference workloads, large-model deployment pipelines, perception platforms, or media-generation systems.
- Familiarity with experiment tracking, dataset versioning, MLOps workflows, or production observability practices.
- Experience with internal APIs, asynchronous job systems, security controls, or media-processing pipelines.
HERE Technologies Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage is described as solid, with employer-verified medical, dental, vision, and mental-health/EAP resources. Public benefits materials consistently reference robust core coverage.
-
Leave & Time Off Breadth — Vacation/PTO is employer-verified, and programs like sabbatical and volunteer time off are highlighted in company-facing summaries. These options indicate a broad time-off offering.
-
Flexible Benefits — Work-from-home and hybrid arrangements are employer-verified, with many U.S. teams operating on a hybrid schedule. Flexibility features prominently in the total-rewards framing.
HERE Technologies Insights
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.
Gallery
HERE Technologies Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.

