Data Scientist - Traffic Simulation and Street Optimization

• Drive the design, implementation and deployment of traffic simulation and street optimization products and services.

• Lead a focused group of software development and product engineers.

• Design efficient architectures and develop on top of existing traffic simulation solutions: macro, meso, micro scales:

• Public-facing, secured and scalable Simulation/Inference-as-a-Service cloud offerings

• MLOps and CI, guide numeric studies requirements & implementations

• Security, Federation, Billing integration

Work with Product Management on product offering strategy.

Defining requirements for training and inference datasets. Working with legal team on validating licenses and data's acceptable usage.

Defining product/service lifecycle: versioning, synchronization of release cycle with partner-teams, backward compatibility, reviewing documentation.

Represent Esri and the team at internal, international, and third-party scientific and industry events. Do presentations, lead and contribute to scientific publications, podcasts, write blogposts and journal articles.

Stay current on latest SOTA developments in traffic simulation, street optimization & generation, generative neural networks across multiple domains: graphs, raster, meshes & GS, point clouds, VLM/LLM, foundational geospatial models, etc. Collaborate with other researchers and developers within and across the teams throughout the R&D process.

• 5+ years of professional software development experience working with C++ and/or Python

• Demonstrated experience with R&D in multimodal (vehicular, pedestrian, public transportation, robotics, etc.) traffic simulation and optimization at macro, meso and macro levels

• Knowledge of and willingness to continue developing expertise in the following areas:

• Traffic Simulation & Optimization: Traffic simulation packages; ML-based optimization methods

• Machine Learning & AI: PyTorch; GANs; Graph Neural Networks; autoregressive and sequence-to-sequence models; foundational LLMs and VLMs; multimodal shared embedding models

• Software & Infrastructure: Ubuntu; Docker; cloud computing and model deployment/serving

• GIS & 3D Modeling: CityEngine; ArcGIS Pro; ArcGIS Server; geoprocessing services

Strong analytical problem-solving skills and research experience in relevant fields

Excellent written and verbal communication skills

Bachelor's degree in computer science, data science, mathematics, robotics, remote sensing, computer vision or a related field

Existing work authorization in Switzerland

Recommended Qualifications

• Scalable CPU- and GPU-based processing of large volumes of spatiotemporal data
• NVIDIA RAPIDS, NVIDIA Kaolin, PyTorch Geometric
• Leading roles in research of software development groups
• Master's degree or higher in computer science, data science, mathematics, robotics, remote sensing, computer vision or a related field

Utilize your expertise in traffic simulation, street optimization, Urban Digital Twins, Deep Learning research and solutions to impact hundreds of thousands of users! We are seeking a Sr. Data Scientist to join our global AI Prototypes Team and push the frontiers of simulation and artificial intelligence to develop innovative traffic optimization tools for AI-assisted urban planning and beyond. This is a great opportunity to join research-oriented team that works on SOTA ideas, architectures and implementations, publishes its research results and contributes to development of next-gen Esri software., At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.