AI in RAN System Developer

Ericsson; Ottawa; On-site; CAD 130,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Stock Purchase Plan

Paid time off

Job summary

Ericsson Canada Inc. is seeking an AI in RAN System Developer to apply machine learning and analytics to telecom challenges, focusing on AI-enabled RAN functions in real-time systems.

You will collaborate with RF engineers, software teams and researchers to design, prototype and productionize AI models that improve network performance, latency and user experience within tight compute and memory limits. A strong foundation in ML, C++, Python and telecom knowledge is required, with a degree in

Qualifications

• Strong machine learning fundamentals including supervised/unsupervised/reinforcement learning, feature engineering and evaluation.
• Ability to decide when classical algorithms suffice vs. ML approaches.
• Experience with resource-constrained systems and real-time constraints.
• Understanding of inference optimization, model compression, and deployment on embedded/telecom platforms.
• Strong software engineering skills with C++ and Python, CI/CD, and production readiness.
• Knowledge of telecom/RAN systems such as scheduling, mobility, RRM, O&M or performance management.
• Bachelor’s or Master’s degree in CS/EE/Telecommunications or related discipline.

Responsibilities

• Drive AI/ML-enabled RAN function design ensuring real-time feasibility.
• Develop, evaluate and optimize AI-based solutions for scheduling, mobility, link adaptation and RRM.
• Collaborate with engineering teams to integrate AI into existing RAN products and pipelines.
• Assess when ML adds value versus classical approaches and avoid over-automation.
• Design experiments, data collection, and validation methodologies for AI-driven solutions.
• Translate data insights into deployable capabilities to improve network performance and user experience.
• Optimize models for limited CPU, memory, power and latency budgets.
• Contribute to AI methodologies, lifecycle practices, tooling and best practices for AI-native networks.

Skills

ML fundamentals

C++

Python

Embedded telecom

RAN awareness

Education

Bachelor's or Master's in CS/EE/Telecommunications

Tools

TensorFlow

PyTorch

Job description

Join our Team

At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position.

About This Opportunity

Artificial Intelligence is rapidly becoming a key enabler for future Radio Access Networks. We are looking for an experienced AI in RAN System Developer who is passionate about applying machine learning and advanced analytics to solve real-world telecom challenges.

In this role, you will contribute from early phase systemization to development of AI-enabled RAN functions that improve network performance, optimize resource utilization and enhance the end-user experience. The focus is on AI for RAN functionality and embedded intelligence, not on building general-purpose Generative AI solutions or Large Language Models.

You will work with some of the industry’s most advanced Radio Access Network technologies, including latest NR and 5G Advanced capabilities, while contributing to the journey toward 6G and AI-native networks. Working alongside experts in RAN architecture, radio algorithms, system design, software development and research, you will help shape how AI becomes an integral part of future wireless systems.

This is an opportunity to combine cutting-edge Machine Learning with carrier-grade radio technology, where solutions must be productized and executed efficiently within strict real-time, compute, memory, power and latency constraints.

What You Will Do

• 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.
• Develop, evaluate and optimize AI-based solutions for use cases such as scheduling, mobility, link adaptation, radio resource management, O&M systems, performance management, network performance analysis and predictive maintenance.
• 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.
• Evaluate technical and business problems and determine when machine learning provides value compared with classical algorithmic approaches, avoiding indiscriminate use of AI.
• Design meaningful experiments, data collection strategies and validation methodologies to assess the effectiveness, feasibility and product impact of AI-driven solutions.
• Analyze data and translate insights into deployable capabilities that can improve network efficiency, latency, throughput, capacity, reliability and user experience.
• 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.

The skills you bring

Must-have competence

• Strong Machine Learning fundamentals, including supervised, unsupervised and reinforcement learning, feature engineering and feature selection, model training, validation, performance evaluation, statistical analysis and data-driven decision making.
• Ability to decide whether a problem should be solved with classical algorithms or Machine Learning, rather than applying AI as a default answer.
• Experience with resource-constrained systems, including the ability to design models that fit within finite CPU, memory, power and latency budgets.
• Understanding of inference optimization, model compression, quantization, pruning, acceleration techniques and deployment feasibility on embedded or telecom platforms.
• Strong software engineering skills, including modern C++, Python for AI experimentation and prototyping, software architecture understanding, CI/CD and the ability to move from prototype to production software.
• Understanding of telecom and RAN systems, preferably within areas such as scheduling, mobility, link adaptation, RRM algorithms, O&M systems or performance management.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Telecommunications or a related discipline.

Highly valued competence

• Experience with AI in real-time systems, including low-latency inference, real-time operating environments and model optimization for production.
• Experience with hardware acceleration, including FPGA, NPU or GPU deployment.
• Practical experience with Reinforcement Learning, online learning, policy optimization, decision making under uncertainty and closed-loop optimization systems.
• Experience with MLOps and AI lifecycle management, including training pipelines, model versioning, dataset management, monitoring, safe deployment and rollback mechanisms.
• Experience with machine learning frameworks and tools such as TensorFlow, PyTorch or equivalent.

Behavioral competencies

• Analytical and data-driven, with the ability to understand complex technical problems and extract actionable insights.
• Innovative and curious, with a continuous improvement mindset and the ability to explore new solutions and assess their performance in real-life networks.
• Critical thinker who can assess technical trade-offs and evaluate alternative approaches pragmatically.
• Collaborative team player who enjoys working across system architecture, software, feature ownership, research and product development boundaries.
• Intrinsically motivated, with ownership, learning agility and a strong drive to deliver business and customer value.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at [e-mail].

DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: Canada (CA) || Ottawa (Country/ City)

Job details: Developer

Compensation And Benefits At Ericsson

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay The salary offered is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.

The salary range for this position is

• Ottawa: $129,500CAD- $170,100CAD

Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

Your Health Ericsson offers excellent health benefits including the choice of 3 medical and dental plan options that allow an employee to select the level of coverage that suits their needs. Core level coverage is paid for fully by Ericsson.

Your Financial Security We invest in both your short and long-term financial wellbeing. Ericsson’s Group Retirement & Savings Program offers an automatic 2% company contribution into the Pension Plan. Ericsson also offers a 50% match of employee’s contribution into the Registered Retirement Savings Plan, up to 8% of the employee’s contribution (maximum of 4% match). This leads to a total company contribution potential of 6%. Employees will also basic life insurance and basic accidental death and dismemberment coverage at two-times annual base pay at no cost, as well as short-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

Your Time Your work-life balance is important to us. New employees are provided a minimum of 18 days of accrued vacation, at least 3personal days, minimum 10 holidays, 1 volunteer day, and sick days. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 10 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

Additional Benefits Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, wellness account, and recognition programs.