Develop and sustain automated manufacturing test solutions for optical transport products, analyzing parameters and collaborating with engineering teams for improvements.
We are looking for a staff optical engineer to develop optical test solutions for our optical products. You will be empowered to make decisions and implement your creative ideas to advance Nokia corporate strategy. We are looking for a smart, dynamic person to work in our fast-paced manufacturing environment supporting Nokia's highly innovative integrated products. This position has an emphasis on the continuous improvement of our optical communication products, while maintaining Nokia's high quality of reliability, recognized by our customers.
ResponsibilitiesKey Responsibilities:
- Be responsible for the development/sustaining, installation, documentation and support of Functional/System manufacturing test of Nokia’s optical transport equipment products.
- Develop required test plans/specifications
- Develop and support automated manufacturing test infrastructure
- Develop VB.NET/Python based Software to automate the test execution
- Develop tools for fault isolation and identification capability to manufacturing technical staff
- Be responsible for refining process and strategy to drive failures earlier and then out of the manufacturing process
- Be responsible for statistical analysis of optical product test parameters and equipment measurements
- Work/partner with other engineering staff to define and implement detailed testability requirements
- Be a key member of cross functional NPI team
- Be a key member of cross functional defect reduction team
- Be responsible for continual maturing of test infrastructure
- Be able to work independently and prioritize tasks on a weekly/monthly level
Qualifications
You have:
- Working experience in products with hardware, firmware and software elements
- Working experience in products of optical transport networks or optical switches/routers.
- Practical experience in defining test criteria based on product specifications, error of measurement.
- Proven ability to develop automated test solutions and the deployment to remote manufacturing locations
- Hands-on experience with electrical and optical test and measurement equipment such as optical switch, OSA, etc...and with optical tests such as OSNR, BER, Eye Diagram, and so on parametric measurements.
- Knowledge of databases like SQL Server
- Proficient in VB.NET/C#/C++ and Visual Studio 2020 or higher. Good at Python a plus.
- The ideal candidate is analytic, detail-oriented, with great quantitative analysis skills, is self-motivated, able to proactively communicate with all employees and work well in a fast-paced environment.
- Excellent verbal and written communication skills required.
- BS/MS/PhD in EE or related field required
It would be nice to have
- 5+ years minimum experience with optical/data networking industry related test development
Some of our benefits in US:
- 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.
Similar Jobs
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills:
APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
Consumer Web • eCommerce • Internet of Things
Lead developer distribution strategy and a cross-functional team to drive developer adoption of DNSid via SDKs, docs, portals, standards work, integrations, and measurable adoption signals while staying hands-on technically and managing hiring and performance.
Top Skills:
A2AAgent FrameworksAi-OrchestrationAPIsGitGoIdentity/AuthMcpPythonSdksTypescript
Consumer Web • eCommerce • Internet of Things
Lead security architecture and threat modeling for the DNSid platform. Design cryptographic core, build secure SDKs (TypeScript, Go, Python), enforce supply-chain and deployment security, partner on standards (IETF), and own org-wide security posture including secrets management, SOC 2 readiness, and incident response.
Top Skills:
DidDnsDnssecEd25519GoIetfJwksJwtOauth2OidcPkiPythonSoc 2TlsTxt RecordsTypescriptVerifiable CredentialsWebauthn
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
