Sr. Software Engineer

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.

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., 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.

It would be great if you also bring

• 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.

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.