Individual contributor responsible for design, simulation, and validation of control algorithms and systems for digital coherent optical transceiver modules. Evaluate PICs, optics, control electronics, and high-speed electronics to ensure reliability, manufacturability, and product requirements for multi-terabit optical systems.
- Join the development team for Nokia’s next generation digital coherent optical transceiver modules and take on critical challenges in chip, module, and system designs to enable the next generation multi terabit optical fiber transmission systems for data center, metro, and long haul markets. This is an individual contributor engineering position responsible for designing control algorithms for highly-integrated optoelectronic devices and implementing validation tests for digital coherent optical modules in the world’s fastest next generation optical networking systems.
- NION2026
- Individual contributor engineering position responsible for design and simulation of advanced optical/optoelectronic designs and control systems to ensure high reliability and manufacturability.
- Design, implement and validate controls for digital coherent optical modules.
- Evaluate entire optical system including PIC, optics, control electronics, high-speed electronics to determine if overall system design will meet product requirements.
- Ph.D. in Electrical or Optical Engineering + 10 years' experience
- Experience with fundamental and advanced photonic device design and characterization techniques.
- Experience with control systems design desirable.
- Software development skills desirable (C, PYTHON, VB, MATLAB or other)
- Excellent presentation and communication skills.
- Highly self-motivated, ability to learn quickly and move fast.
Similar Jobs
Security • Cybersecurity
Design and maintain data pipelines, models, and transformation layers for analytics. Build data contracts, observability and lineage tooling, collaborate with product engineering, and optimize data structures for performance and scalability.
Top Skills:
Cloud-Native ArchitecturesData ContractsData Observability FrameworksDimensional ModelingDockerGoIncremental Data ModelsJvm (Java/Scala/Kotlin)KubernetesLineage TrackingMessage QueuingNode.jsPythonStream Processing
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Lead sales strategy and execution for Identity, Audiences, Insights and Measurement within Media & Entertainment. Drive revenue growth, bookings, adoption, and upsell across publishers, platforms, CTV, audio, and adtech partners. Manage sales teams, pipeline, forecasting, KPI tracking, quota attainment, and coaching. Build executive relationships, resolve escalations, collaborate cross-functionally on pricing and product, and optimize revenue performance.
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
Manage day-to-day email, SMS, and push campaign operations and platform health. Build and launch acquisition and retention journeys, QA templates and flows, monitor deliverability and sender reputation, ensure compliance, maintain data hygiene and governance, and partner cross-functionally to optimize messaging and performance.
Top Skills:
A/B TestingDkimDmarcDynamic Content RenderingEmailEspsMpsPush NotificationsReal-Time TriggersSegmentationSmsSpf
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
