Top Internships

Develop Responsible AI governance tooling, technical guardrails, risk assessments, MCP scanners, and compliance automation for AI systems and agents. Build production-grade software integrated with CI/CD pipelines, support OSS compliance workflows, improve security and reliability, and translate governance requirements into engineering solutions. The role also involves technical documentation, training, stakeholder communication, and establishing organization-wide Responsible AI practices.

Diagnose and resolve complex customer issues involving HERE data, APIs, SDKs, and applications. Build AI-powered troubleshooting tools and automation, convert recurring problems into reusable workflows, experiment with Generative AI, and share engineering practices across Technical Support. Requires strong programming, REST API, cloud, distributed systems, troubleshooting, and customer communication skills.

Manages strategic automotive technology and platform partner accounts to drive revenue, pipeline growth, joint opportunities, and partner-influenced OEM business. Develops account and partnership plans, builds executive relationships, coordinates cross-functional teams, supports bundled offerings, negotiates commercial agreements, and executes partner-led go-to-market strategies across SDV, digital cockpit, ADAS, navigation, and location technology ecosystems.

Lead end-to-end global tradeshows, customer events, and internal conferences from concept through onsite delivery and evaluation. Manage project plans, budgets, risks, vendors, agencies, logistics, stakeholder communication, event production, and KPIs. Coordinate international teams and workstreams, resolve operational challenges, and improve event formats and technologies. The role requires at least five years of event management experience, strong project leadership, production expertise, international collaboration, occasional travel, and flexibility across time zones.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Provides HR operations support across EMEA, with primary responsibility for Germany, Finland, and the Netherlands. Manages employee lifecycle processes, HRIS data, payroll and benefits support, compliance, leave and illness management, employee relations, investigations, performance improvement plans, and policy deployment. The role also leads HR process documentation, automation, change management, and optimization within Oracle HCM while advising employees and People Leaders.

Validates HERE HD Map and Base Map products through functional, regression, manual, and automated testing. Develops test plans, cases, and datasets; validates geospatial data pipelines; analyzes results; and tracks defects. Collaborates with Product, Engineering, and QA teams to define scenarios, investigate inconsistencies, improve testing processes, and ensure product quality.

Lead privacy engineering strategy and automation across the product lifecycle. Own Privacy by Design, DPIAs, privacy assessments, DSR processes, privacy controls, monitoring, metrics, and governance. Build scalable tooling and technical standards across cloud architectures, APIs, data platforms, and products. Advise Product, Engineering, Security, Architecture, Legal, and Privacy teams while applying privacy-enhancing technologies, AI governance, and regulatory frameworks.

Develop and deploy spatial perception models for ADAS/AD, including BEV and occupancy-based architectures. Lead large-scale distributed training, synthetic data validation, model quantization, compression, and edge optimization for automotive SoCs. Translate research into production pipelines, benchmark accuracy and performance, conduct experiments, and build regression testing. Collaborate with research and engineering teams while mentoring junior engineers and maintaining high standards for code quality and documentation.