About this opportunity:

Are you ready to create the future of AI powered 5GA/6G network?

Baseband Technology under Ericsson AI and technology foresight department leads technology foresight and development in the core system area of real-time processing (baseband), both for AI and non-AI methods and workloads. This includes AI models in the RAN baseband, accelerated compute technology, the SW toolchain for AI on Ericsson Silicon (EMCA) and other areas vital to the AI mission, such as overseeing field data collection and AI model validation over-the-air, simulators, cloud infrastructure and more. The responsibility area also includes leading technology incubation for future SW-defined baseband planforms, for example using GPU's and various accelerator devices.

We are now looking for a Senior Baseband AI Developer to join our global team and drive the next wave of innovation across the full baseband stack - from Physical Layer (L1) to Layer 2 (L2) and scheduler design and optimisation.

This role is for someone with deep baseband knowledge, strong software skills, and a genuine passion for applying AI and other emerging technologies to solve real product problems. You will work at the intersection of wireless communication, machine learning, software architecture and modern compute platforms to bring intelligence into key baseband functions and workflows.

No matter where you join, you will become part of a highly collaborative and global organisation with baseband expertise across sites including Stockholm, Lund, Linköping and Ottawa.

Join us to turn advanced AI into real network value.

What you will do:

• Drive and contribute to the exploration, design and development of AI-enhanced solutions across the baseband domain, including L1/PHY, L2 processing and radio resource scheduling.
• Identify where AI can create measurable value in baseband functions such as signal processing, link adaptation, resource allocation, traffic management, control optimisation, performance prediction and runtime adaptation.
• Develop, prototype and evaluate algorithms that combine domain knowledge in wireless systems with modern AI/ML methods, including deep learning and data-driven optimisation.
• Work with purpose-built Ericsson RAN compute as well as general compute platforms such as x86/ARM and accelerator-based environments, extending the spirit of the reference role beyond PHY into a broader baseband scope. The reference specifically highlights work on purpose-built RAN compute, COTS platforms and accelerators.
• Collaborate with cross-functional teams in system design, software, architecture, data, silicon and product engineering to bring concepts into deployable solutions.
• Contribute to technology scouting and innovation activities in AI, baseband architecture, toolchains and future software-defined platforms. The reference explicitly includes technology scouting, AI toolchains, cloud infrastructure and software-defined baseband incubation.
• Support validation through simulation, offline analysis, lab verification and where relevant over-the-air evaluation. The reference explicitly mentions model validation over-the-air, simulators and infrastructure.
• Help shape technical direction, mentor colleagues and contribute to a culture of learning, experimentation and engineering excellence.

The skills you bring:

• 8+ years of experience in baseband digital processing, with strong knowledge in one or more of the following areas: physical layer, L2 protocol processing, scheduler design, radio resource management or related wireless communication domains. The reference requires 8+ years of experience in baseband digital processing.
• Strong programming skills in C/C++ and Python. The reference explicitly lists C/C++ and Python as must-have skills.
• Solid understanding of 4G/5G radio access technologies and the performance, real-time and implementation constraints of baseband systems.
• Experience applying AI/ML methods to communication systems, embedded software, optimisation problems or performance-critical products.
• Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow or JAX. These frameworks are explicitly listed in the reference.
• Strong analytical thinking and the ability to move from problem definition to implementation and validation.
• An MSc or PhD in Electrical Engineering, Computer Science, Applied Mathematics or a related field. The reference explicitly requires an MSc in Electrical Engineering, Computer Science or equivalent.
• A consistent track record of delivering complex software solutions with high quality.
• The ability to work effectively in international, agile and multi-site teams. The reference explicitly emphasises international, agile and multi-site teamwork.
• Curiosity, openness to new ideas and a strong drive to learn, innovate and help others grow. The reference explicitly values quick learning, open-mindedness, enthusiasm, adaptability, inclusion and a can-do attitude.

Additional qualifications

• Experience with embedded AI for RAN/baseband. The reference explicitly calls out embedded AI in RAN.
• Experience with cloud-based AI/ML workflows and platforms such as AWS and related services. AWS services are explicitly referenced in the source.
• Knowledge of development pipelines and modern software engineering practices, including CI/CD, Git, Gerrit, GitHub, Jenkins and related tooling. These are explicitly listed in the reference.
• Experience with AI compiler stacks and optimisation frameworks such as LLVM or MLIR. These are explicitly listed in the reference.
• Experience with accelerator programming and performance optimisation, for example CUDA, GPU toolchains or kernel design. The reference explicitly mentions Nvidia toolchains, CUDA and kernel design.
• Experience translating research ideas into production-oriented software and product impact.
• Excellent written and verbal communication skills.

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.