Embedded AI for Real-Time RAN Systems

Ericsson; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Ericsson in Stockholm, Sweden is seeking an experienced AI in RAN System Developer to apply machine learning to real-world telecom challenges. You will shape AI-enabled RAN functions from early design to production, balancing accuracy with real-time constraints in embedded environments.

You will collaborate with RAN architecture, radio algorithms, software development and research teams to productize AI solutions and drive network performance, latency reduction and user experience improvements.

Qualifications

• Master’s degree in a relevant field and strong ML fundamentals.
• Experience with resource-constrained systems and real-time constraints.
• Proficiency in C++ and Python for AI experimentation.
• Understanding of inference optimization and model deployment on embedded/telecom platforms.
• Experience with CI/CD and moving from prototype to production.
• Solid knowledge of telecom/RAN concepts such as scheduling, mobility, and performance management.

Responsibilities

• Drive the system design of AI/ML-enabled RAN functions and algorithms, ensuring that machine learning techniques can be productized and executed efficiently within real-time RAN systems.
• Analyze data and translate insights into deployable capabilities that can improve network efficiency, latency, throughput, capacity, reliability and user experience.
• Design meaningful experiments, data collection strategies and validation methodologies to assess the effectiveness, feasibility and product impact of AI-driven solutions.
• Evaluate technical and business problems and determine when machine learning provides value compared with classical algorithmic approaches, avoiding indiscriminate use of AI.
• Work closely with engineering teams to integrate AI solutions into existing RAN products, software platforms and development flows, from early prototype and proof-of-concept work to production-quality implementation.
• Optimize AI models for deployment under finite CPU, memory, power and latency budgets, balancing AI accuracy against computational cost and operational value.
• Contribute to the evolution of AI methodologies, lifecycle practices, tooling and best practices for RAN products and future AI-native networks.

Skills

C++

Python

ML fundamentals

Embedded/telecom platforms

CI/CD

RAN systems knowledge

Education

Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Telecommunications or a related discipline

Job description

Ericsson in Stockholm, Sweden is seeking an experienced AI in RAN System Developer to apply machine learning to real-world telecom challenges. You will shape AI-enabled RAN functions from early design to production, balancing accuracy with real-time constraints in embedded environments.

You will collaborate with RAN architecture, radio algorithms, software development and research teams to productize AI solutions and drive network performance, latency reduction and user experience improvements.