Jobs at HERE Technologies

Design and build scalable systems, data pipelines, and full‑stack applications to validate product quality and produce KPI reporting. Integrate AI-driven features (RAG, agents, semantic search), automate statistical analysis, support CI/CD, conduct code reviews, and collaborate in Agile teams to translate business needs into technical solutions.

Serve as primary technical advisor for strategic customers, troubleshoot and resolve complex SDK/platform issues, lead root-cause analysis, drive cross-functional solutions with product and engineering, support implementations and RFQs, conduct training, and improve support processes and product usability.

Lead development of large-scale vision foundation and multimodal AI models for image and video understanding. Design, train, optimize, and deploy ViT-based and VLM systems, build RAG and retrieval pipelines, manage large multimodal datasets, optimize distributed training and GPU workflows, and translate research into production-ready solutions while evaluating model robustness and retrieval effectiveness.

Lead HRIS/HR Business Analyst responsible for translating HR processes into Oracle HCM Fusion functional designs, driving AI-enabled automation (Agentic/Generative AI), managing end-to-end HCM processes, leading business acceptance, ensuring compliance (GDPR/ISO), collaborating with HR Technology teams, and supporting Agile delivery to improve MyHR workflows and release cycles.

Lead design, development, and deployment of production ML systems for HD mapping, ADAS and IVI. Own end-to-end ML architecture, data ingestion, training, inference pipelines, MLOps (CI/CD, versioning, monitoring), and integrate outputs into map compilation. Drive models in computer vision, NLP, generative/agentic AI, and ensure scalable, reliable in-cloud or in-vehicle deployments while mentoring teams and enforcing engineering best practices.

Lead design and deliver efficient perception models for road scenes, optimize models for edge devices (Jetson, Snapdragon, ARM), improve real-time inference via quantization/pruning/distillation, convert/deploy with TensorRT/ONNX, build scalable training/evaluation with PyTorch or TensorFlow, and collaborate with embedded and software teams to produce production-ready edge AI systems.

Design and implement backend and data-processing features, maintain and debug large-scale low-latency services, run benchmarks and experiments, build automation and data analysis tools, and create simple UIs and dashboards to present results.

Design, build, and deploy backend services and dashboards to automate traffic data processing. Own full stack including DevOps, CI/CD, testing, and APIs. Collaborate with teams and customers to create scalable, reusable solutions for near-real-time traffic mapping and data delivery to automakers.

Lead integration and deployment of Vision Foundation and Vision-Language Models into scalable production systems. Build APIs, inference pipelines, evaluation and benchmarking frameworks, and data pipelines for large-scale image/video multimodal workloads. Collaborate with data scientists to optimize models, analyze failures, and support retrieval-augmented systems using embeddings and vector databases.

Build, operate, and improve end-to-end Agentic AI/ML pipelines and a map compilation platform for HD maps. Implement scalable CI/CD/CT for ML, design fault-tolerant orchestration, deploy containerized models in cloud-native environments, monitor model performance and data drift, manage model lifecycle/versioning, drive IaC and cloud reliability, and collaborate on architecture and incident resolution.

Design, build, and maintain backend services and algorithms for urban mobility. Implement CI/CD, cloud-native deployments, and monitoring; drive technical excellence, mentor juniors, collaborate across teams, and provide occasional on-call DevOps support.

Design and implement map and location quality testing end-to-end: statistical/experimental designs, sampling plans, ML models, metrics, and data/computing tools. Serve as SME, collaborate with stakeholders and customers, present findings, and lead quality strategy and implementation for map quality evaluation.

Lead development and deployment of scalable machine learning and analytics solutions for global map-making. Design process automation, build predictive and statistical models, lead modeling teams, collaborate with researchers, developers, architects, and customers, and work with big-data pipelines and point-cloud/computer-vision methods.