AI-Enabled RAN Systems Engineer

Ericsson GmbH

Ottawa

On-site

CAD 130,000 - 170,000

Full time

10 days ago

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Benefits offered by this job

Health benefits
Educational assistance
Pension plan
Stock Purchase Plan
Vacation and personal days

Job summary

Ericsson Canada Inc. is seeking an experienced AI in RAN System Developer to apply machine learning to real-time telecom challenges.

You will design AI-enabled RAN functions, optimize models for embedded platforms and work with cutting-edge NR/5G technologies while preparing for future AI-native networks. You will collaborate with cross-functional teams to move from prototype to production, balancing AI accuracy with system constraints and ensuring scalable, reliable solutions for scheduling,

Qualifications

  • Strong ML fundamentals including supervised, unsupervised and reinforcement learning.
  • Ability to decide between classical algorithms vs ML appropriately.
  • Experience with resource-constrained, real-time telecom systems.
  • Understanding of inference optimization and model deployment on embedded/telecom platforms.
  • Strong software engineering skills: C++, Python, CI/CD.
  • Familiarity with telecom and RAN systems, esp. scheduling, mobility, RRM.
  • Bachelor’s or Master’s in CS/EE/Math/Telecom or related.

Responsibilities

  • Drive system design of AI/ML-enabled RAN functions for real-time execution.
  • Develop and optimize AI-based solutions for scheduling, mobility, link adaptation, RRM, and more.
  • Collaborate with engineering teams to integrate AI into RAN products and platforms.
  • Evaluate problems to determine when ML provides value over classical algorithms.
  • Design experiments and data collection strategies to validate AI solutions.
  • Analyze data to translate insights into deployable network improvements.
  • Optimize AI models for limited CPU, memory, power, and latency budgets.
  • Evolve AI methodologies and lifecycle practices for RAN products and AI-native networks.

Skills

Machine learning fundamentals
C++
Python
Real-time systems
RAN knowledge
CI/CD
Data analysis

Education

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

Tools

TensorFlow
PyTorch
Keras
FPGA/NPUs/GPU deployment

Job description

Ericsson Canada Inc. is seeking an experienced AI in RAN System Developer to apply machine learning to real-time telecom challenges.

You will design AI-enabled RAN functions, optimize models for embedded platforms and work with cutting-edge NR/5G technologies while preparing for future AI-native networks. You will collaborate with cross-functional teams to move from prototype to production, balancing AI accuracy with system constraints and ensuring scalable, reliable solutions for scheduling,

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