R&D Engineer - AI Studio

Canada

Nokia

As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.

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Family Description

Applied R&D (AR) consists of target-oriented research either with the goal of solving a particular problem / answering a specific question or for multi-discipline design, development, and implementation of hardware, software, and systems including maintenance support. Supplies techno-economic consulting to clients. AR work is characterised by its detailed and complex nature in order to systematically combine existing knowledge and practices to further developing and incrementally improving products, operational processes, and customer-specific feature development.

Subfamily Description

Analogue Hardware (AHA) comprises the specification, design, and implementation of analogue hardware. This covers small signal Radio Frequency (RF), power amplifiers, and RF filter parts of the radio products as well as sub module level verification and product unit level specification and integration.

 

You will support the design, implementation, and maintenance of cutting-edge data and AI infrastructure, enabling seamless data processing, governance, and integration for Nokia’s next generation products. This is an opportunity to gain hands-on experience with modern data engineering principles while working in a collaborative and innovative environment.

Responsibilities

Platform Development Support:

  • Assist in implementing dynamic data onboarding processes and maintaining the semantic layer exposed to the data catalog.
  • Contribute to the integration of data governance policies to ensure compliance with regulatory and business requirements.

Data Infrastructure & Compute Pipelines:

  • Help design and maintain pipelines for real-time and batch data processing, supporting  MLOps and LLM workflow.
  • Collaborate with senior team members to optimize compute environments for hybrid deployments (on-premise and cloud).

Data Lakehouse & Mesh Implementation:

  • Work on integrating data lakehouse solutions for scalable analytics.
  • Learn and contribute to data mesh principles to enable seamless data combinations for various use cases.

Collaboration & Stakeholder Engagement:

  • Support senior engineers in collaborating with cross-functional teams, including product management and architecture.
  • Participate in customer engagements to understand and solve industry-specific pai points.

Continuous Delivery & Operational Excellence:

  • Assist in ensuring continuous delivery (CD) readiness for platform updates and deployments.
  • Contribute to modular and flexible solutions by maintaining clear metadata and content separation.

 

Key Skills and Experience

  • Bachelor’s degree in Computer Science, Data Engineering, or related fields (or equivalen work experience).
  • 1-3 years of experience in developing enterprise software, data engineering, cloud platforms, or related field
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and hybrid compute architectures.
  • Basic understanding of data governance, lineage, and quality management.
  • Exposure to MLOps workflows and LLM deployment is a plus
  • Hands-on experience with programming languages like Python, Java, or Go.
  • Familiarity with data processing frameworks (e.g., Apache Spark, Kafka, Flink) is desirable.
  • Excellent communication and collaboration skills with a desire to learn and grow in the telecom AI space.

     

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
Join us and be part of a company where you will feel included and empowered to succeed.

Additional Information

US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to:

  • Corporate Retirement Savings Plan
  • Health and dental benefits
  • Short-term disability, and long-term disability
  • Life insurance, and AD&D – Company paid 2x base pay
  • Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
  • Paid time off for holidays and Vacation
  • Employee Stock Purchase Plan
  • Tuition Assistance Plan
  • Adoption assistance
  • Employee Assistance Program/Work Life Resource Program

The above benefits exclude students.

Disclaimer for US/Canada

Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role)

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Computer Science Consulting Data governance Engineering Flink GCP Java Kafka LLMs ML infrastructure MLOps Pipelines Python R R&D Research Spark

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance

Region: North America
Country: Canada

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