15 hours ago
Stockholm, SwedenSenior
Responsibilities
- Drive system design of AI/ML-enabled RAN functions and algorithms for efficient execution in real-time systems.
- Analyze data and translate insights into deployable capabilities that improve network performance and user experience.
- Design experiments, data-collection strategies, and validation methodologies for AI-driven solutions.
- Evaluate when machine learning provides value compared with classical algorithmic approaches.
- Integrate AI solutions into RAN products, software platforms, and development flows from prototypes to production.
- Optimize models within CPU, memory, power, and latency constraints while balancing accuracy and operational value.
- Contribute to AI methodologies, lifecycle practices, tooling, and best practices for RAN products and AI-native networks.
Requirements
- Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Telecommunications, or a related discipline.
- Strong machine-learning fundamentals covering supervised, unsupervised, and reinforcement learning, feature engineering, model training, validation, evaluation, and statistical analysis.
- Experience designing models for resource-constrained systems with finite CPU, memory, power, and latency budgets.
- Understanding of inference optimization, model compression, quantization, pruning, acceleration, and deployment on embedded or telecom platforms.
- Strong software engineering skills with modern C++, Python for AI experimentation and prototyping, software architecture, and progression from prototype to production software.
- Understanding of telecom and RAN systems, preferably scheduling, mobility, link adaptation, RRM algorithms, O&M systems, or performance management.
- Demonstrated achievements applying AI algorithms, optimization strategies, or machine-learning models to improve performance in RAN or similarly constrained technical environments.
Benefits
- Opportunity to work on advanced RAN technologies, 6G, and AI-native networks with multidisciplinary experts.
- Location: Stockholm, Sweden.
- Ericsson describes an inclusive, diverse, and collaborative work environment with opportunities to solve challenging technical problems.
Categories
About Ericsson
Ericsson is a publicly traded telecommunications vendor that builds mobile network infrastructure (RAN, core, OSS/BSS), cloud platforms, and managed services for communications providers and enterprises. Founded in 1876 and headquartered in Kista, Stockholm, it supplies 5G systems to operators worldwide and owns Vonage, expanding network APIs and enterprise communications offerings.