Develop and implement test plans for coherent optical pluggable products using photonics integrated circuits. Analyze transceiver performance, define testability requirements, validate test platforms, support fault isolation, and coordinate manufacturing integration. Use data analytics and statistical modeling to improve test yield and reduce cycle times while collaborating with development, technical, and manufacturing teams.
As a Sr Product Test Capability Engineer at Nokia, you will join a dynamic team focused on advancing optical communication technologies. Collaborating closely with cross-functional teams, you will directly influence the performance of our innovative pluggable products. Your work will involve developing test plans, analyzing results, and driving improvements in efficiency and yield. The collaborative environment fosters open communication, where your insights and feedback are valued and can lead to meaningful changes. Enjoy competitive compensation, a comprehensive benefits package, and opportunities for professional growth. Work in a state-of-the-art facility in Allentown, PA, and be part of a company that values creativity and innovation in technology. We are looking for recent or upcoming graduates (MS or PhD) in Physics, Optics or Data Science for this role.
- Develop and implement test plans for Nokia's coherent pluggable products leveraging Photonics Integrated Circuits (PICs).
- Analyze optical communication fundamentals to assess the performance characteristics of optical transceivers.
- Collaborate with stakeholders to establish and document testability requirements.
- Ensure clear communication with development teams to align on test plan execution.
- Review and assess test platform validation results, providing actionable feedback to developers.
- Coordinate changes to the test platform and facilitate their integration into the manufacturing process.
- Support fault isolation and provide insights to technical teams in design and manufacturing.
- Drive initiatives to enhance test yield and reduce test cycle times.
Must-Have:
- MS in science or engineering; PhD preferred (Physics, Optics, Data Science, etc.)
- Proven experience in data analytics and statistical modeling
- Proficiency in SQL, preferably MySQL or other relational database frameworks
- Ability to define and implement detailed testability requirements
- Experience in cross-functional collaboration with development teams
Nice-To-Have:
- Familiarity with applied optics in a practical setting
- Previous Infinera or Nokia internship experience
- Exposure to Azure DevOps, Bitbucket, or similar source control platforms
- Experience with data analysis and visualization tools
- Knowledge of project management methodologies
- Familiarity with VB.net or similar programming languages
Similar Jobs
Software
Develop and implement test plans for coherent optical communication products, analyze transceiver performance, define testability requirements, validate platforms, support fault isolation, and improve manufacturing test yield and cycle times. The role requires collaboration with development and manufacturing teams, statistical modeling, SQL-based data analysis, and familiarity with optics and test technologies.
Top Skills:
Azure DevopsBitbucketData AnalyticsData VisualizationMySQLPhotonics Integrated Circuits (Pics)SQLStatistical ModelingVb.Net
Events • Food • Travel • Hospitality • Hotels & Resorts
Execute property-specific hotel marketing campaigns across digital, social media, and branded channels to increase visibility, revenue, and guest engagement. Monitor hospitality marketing trends, tools, and consumer behavior; prepare monthly campaign performance reports and analyses; and collaborate with Sales, Revenue Management, and other department leaders on cross-functional initiatives.
Top Skills:
Digital Marketing PlatformsSocial Media Platforms
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills:
Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
