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Participate in an 18-month early career program with rotations across business functions. Support demand planning, supply analysis, delivery performance, inventory optimization, and supply risk mitigation within Ericsson’s China Supply team. Use data and digital or AI-enabled tools to identify challenges, improve supply operations, and strengthen customer satisfaction. Collaborate with stakeholders, contribute to continuous improvement initiatives, and develop commercial and leadership capabilities.

Support the development and operation of cloud infrastructure, data solutions, internal AI applications, APIs, and containerized applications. Contribute to database and data engineering tasks, software integration, DevOps, and AI platform initiatives while learning from experienced colleagues. Collaborate across teams to create reliable tools that improve productivity for Ericsson’s Microwave organization.

Supports continuous improvement across construction and engineering operations by analyzing workflows, requirements, performance data, and operational challenges. Identifies opportunities for process simplification, automation, and AI-enabled solutions; develops process maps, reports, presentations, and recommendations; and assists with solution testing, implementation, change management, training, and adoption. Collaborates with stakeholders and documents best practices and project outcomes.

Summer 2027 internship supporting deployment, optimization, and operations of Ericsson RAN. Work across site construction, operations, RF optimization, program management, and IT/automation—performing site surveys, data analysis, project tracking, tooling/automation development, and coordination with engineering and customer teams.

Support Ericsson’s digital transformation core team by translating AI and digital strategy into measurable improvements for manufacturing and supply chain operations. Coordinate cross-functional stakeholders, shape KPI-driven initiatives, establish priorities and governance, move pilots into production, support change management, and track impact across cost, efficiency, and quality.

Design and route complex PCBs (RF, digital, high-speed, power) using Cadence Allegro and Ericsson library tools. Define constraints, stack-ups and floorplans, perform layout analyses and DFM reviews, support PLM and documentation, and collaborate with multi-disciplinary teams to ensure manufacturability, thermal and signal/power integrity throughout the product lifecycle.

Early-career Data and AI Engineer supporting Ericsson Radio R&D through data engineering, machine learning, Generative AI, RAG, AI agents, analytics platforms, dashboards, and automation. The role includes three rotations across research, product development, data, and AI, with an international placement and collaboration with Radio domain experts on 5G and 6G engineering workflows.

Monitors telecom services, networks, alarms, and performance indicators in a 24/7 shift environment. Investigates faults, manages incident tickets, supervises automated recovery, supports maintenance and access provisioning, coordinates field operations, and escalates critical issues. The role also prepares operational reports, monitors customer experience, and contributes to service continuity and improvement while meeting SLAs and KPIs.

Develop 4G/5G packet core products, including SMF and GW-C, across requirements, architecture, design, integration, verification, and lifecycle support. Collaborate in cross-functional teams, maintain long-term product architecture, improve quality and processes, assess release readiness, support innovation, and build expertise in packet core and cloud-native technologies.

Leads Ericsson Silicon’s EDA ecosystem strategy and horizontal technical program execution across global engineering teams. Responsibilities include EDA roadmap development, vendor partnerships, tool evaluations, SOW negotiations, license portfolio optimization, capacity planning, budget and total cost analysis, technology-node enablement, and cross-functional alignment. The role drives strategic build-versus-buy decisions, advanced-node flow enablement, AI/ML and cloud EDA adoption, and improvements in tool capability, cost efficiency, and environment readiness.