11 hours ago
Base Salary
$148k - $275k/yr
Responsibilities
- Lead OMG AI/ML and automation strategy, architecture, technical direction, priorities, and adoption across PIC, ASIC, TROSA, and Pluggable technologies.
- Build AI/ML capability through technical guidance, mentoring, reusable examples, learning opportunities, and competency-development programs.
- Establish common methods, governance frameworks, architecture standards, knowledge systems, and reusable patterns for responsible and traceable AI/ML use.
- Transform engineering data, workflows, knowledge, and traceability into AI-ready systems across development, qualification, manufacturing, reliability, and field performance.
- Guide the selection, development, validation, and use of AI/ML methods and solutions, including agents, skills, RAG, analytics, and automation.
- Coordinate with Development, Product Engineering, Test, Reliability, Quality, Manufacturing, Operations, IT, and Nokia AI/ML communities.
- Define and maintain the OMG AI/ML technology roadmap and align it with Nokia AI strategy and architecture direction.
- Represent OMG in Nokia-wide AI, data, automation, and architecture forums.
- Evaluate AI platforms, cloud technologies, external partners, implementation approaches, and strategic technology investments.
- Advise OMG leadership on AI/ML opportunities, risks, priorities, and investments.
- Provide strategic leadership for cloud platform initiatives, including staffing, priorities, deliverables, risks, and decisions.
Requirements
- Master’s degree or higher in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or a related field, or equivalent relevant experience.
- Organizational and technical leadership experience in AI/ML, analytics, software, or automation for engineering, product development, test, or manufacturing.
- Strong technical depth in programming, data analysis, and tool development using Python or similar technologies.
- Experience with modern AI/ML methods and architectures, including agents, skills, RAG, knowledge systems, engineering data systems, traceability, or decision-support tools.
- Experience defining organization-level technology strategies, roadmaps, and architecture direction across multiple engineering organizations.
- Experience establishing enterprise-scale technical standards, governance frameworks, or architecture methods.
- Experience leading cross-functional transformation initiatives involving engineering, operations, IT, manufacturing, or external partners.
- Experience influencing technology investments, platform strategies, build-versus-buy evaluations, and partner selection.
- Experience building technical communities, competency-development programs, workforce plans, or AI/ML enablement programs.
- Ability to communicate AI/ML strategy, opportunities, risks, and investment recommendations to senior and executive leadership.
- Recognized technical authority in AI/ML, engineering automation, knowledge systems, or digital engineering transformation.
- Experience evaluating technical talent, forming teams, and working with internal and external delivery partners.
- Experience leading cloud-based AI/ML, data, or engineering platform initiatives.
- Experience defining project scope, priorities, deliverables, risks, and stakeholder alignment across organizational boundaries.
- Experience with optical transceiver products, photonics, DSP, semiconductor technologies, Product Engineering, or manufacturing and test systems is highly desirable.
Tech Stack
Categories
About Infinera
Infinera builds optical networking systems and coherent optical engines, plus automation software and services, for telecom carriers, cloud and data center operators, cable/MSOs, and enterprises. The company designs and manufactures advanced optical semiconductors and pluggable modules for metro, long‑haul, and submarine transport networks. Founded in 2000 and headquartered in San Jose, California, Infinera is now part of Nokia after operating as a NASDAQ‑listed public company.