Jr Test Innovation & AI Enablement Eng
Nokia
You’ll work across feature teams to identify opportunities for innovation, improve test efficiency, and scale successful practices globally. This role bridges test engineering, software, system engineering, tools and AI expertise to deliver smarter, faster, and more resilient testing strategies.
- 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
Join our global Optical Test Organization as a Test Innovation & AI Enablement Engineer, where you’ll drive the adoption of automation and AI-powered solutions to modernize testing workflows. You’ll work across feature teams to identify opportunities for innovation, improve test efficiency, and scale successful practices globally. This role bridges test engineering, software, system engineering, tools, and AI expertise to deliver smarter, faster, and more resilient testing strategies.
• Strong background in test automation (preferably Python) and CI/CD tools (e.g., Jenkins).
• Familiarity with telecom/optical networking hardware and software testing.
• Experience or strong interest in AI/ML applications in testing and automation.
• Ability to understand complex test environments and hierarchical test structures.
• Excellent cross-team communication and leadership skills.
• Proven ability to deliver prototypes and translate them into scalable solutions.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
• Collaborate with test teams to identify and scale automation and observability solutions.
• Explore and prototype AI/ML use cases for test scheduling, selection, and analysis.
• Represent the test organization across feature teams to align strategies and share insights.
• Integrate AI enhancements into existing CI/CD pipelines and automation frameworks.
• Facilitate cross-team knowledge sharing and adoption of innovative tools.
• Align test strategies with system engineering requirements and field feedback.