Nokia Logo

Nokia

Staff Process Engineer – Thin Film & Metal Deposition

Posted 6 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
Lead development, qualification, optimization, and production support for thin-film and metallization processes used in InP photonic integrated circuits. Own deposition technologies, electroplating, process control, defect reduction, yield improvement, root-cause analysis, equipment qualification, and technology transfer. Collaborate across engineering and manufacturing teams, suppliers, and vendors while providing rapid support for 24x7 production operations.
The summary above was generated by AI

At Nokia Optical Networks, advanced photonic technologies become scalable products powering the world's communication infrastructure. Our team develops and manufactures cutting-edge Indium Phosphide (InP) Photonic Integrated Circuits (PICs) that enable coherent optics, high-speed transceivers, tunable lasers, optical amplifiers, and next-generation networking solutions.

As a Staff Process Engineer – Thin Film & Metal Deposition, you will lead the development, optimization, qualification, and sustainment of deposition processes critical to advanced photonic device manufacturing. You will work hands-on with deposition equipment, chamber hardware, materials, and metrology systems while collaborating with device, integration, lithography, etch, reliability, and manufacturing teams to develop robust, manufacturable process solutions.

The successful candidate will demonstrate strong technical leadership, a high degree of ownership, enthusiasm for manufacturing excellence, and the ability to provide fast, effective support for a 24x7 production operation.

Responsibilities
  • Develop, qualify, and sustain thin film and metallization processes supporting InP photonic integrated circuit manufacturing.
  • Own and optimize deposition processes including PECVD, PVD sputtering, evaporation, electroplating, and other vacuum-based deposition technologies.
  • Support deposition of dielectric and metallic optical and electrical functional films.
  • Lead development and optimization of electrochemical deposition processes, including plating chemistry control, bath maintenance, current density optimization, deposition rate control, thickness uniformity, stress management, and defect reduction
  • Optimize critical process metrics including film thickness, within-wafer uniformity, refractive index, stress, adhesion, sheet resistance, contact resistance, composition, and defectivity.
  • Develop robust metallization processes for lasers, modulators, SOAs, photodiodes, RF structures, and passive optical components.
  • Drive defect reduction, yield improvement, and process capability enhancement using DOE, SPC, advanced analytics, and statistical process control methodologies.
  • Perform root-cause analysis and implement corrective actions for process excursions, film quality issues, equipment failures, and integration-related challenges.
  • Analyze processes from a first-principles, physics-based approach to understand and manipulate mechanisms, not just recipes 
  • Collaborate closely with lithography, wet etch, dry etch, device engineering, integration, reliability, and manufacturing teams to optimize overall process performance.
  • Lead evaluations of new materials, process technologies, deposition hardware, and equipment upgrades.
  • Partner with equipment vendors and material suppliers on chamber matching, hardware improvements, reliability enhancements, and cost-of-ownership initiatives.
  • Support technology transfer from development into production while maintaining process stability and manufacturability.
  • Provide rapid response and technical leadership during process excursions and production-impacting events.
  • Support a 24x7 manufacturing environment through issue escalation, troubleshooting, and on-call support when required.
  • Utilize AI-enabled engineering tools, automation, and advanced data analytics to improve process development efficiency and manufacturing performance.
Qualifications
  • M.S. or Ph.D. in Materials Science, Electrical Engineering, Chemical Engineering, Physics, Chemistry, or a related technical discipline.
  • B.S. degree with 5+ years of semiconductor, photonics, or advanced manufacturing experience will also be considered.
  • Strong experience in thin film deposition, metallization, and related semiconductor fabrication processes.
  • Experience with semiconductor process development, integration, yield improvement, and production support.
  • Working knowledge of vacuum systems, deposition equipment, process control methodologies, and materials characterization techniques.
  • Demonstrated experience using DOE, SPC, JMP, statistical analysis, and data-driven problem solving.
  • Strong ownership mindset with demonstrated ability to drive projects independently and deliver measurable business impact.
  • Excellent troubleshooting and root-cause analysis skills.
  • Ability to prioritize effectively and respond quickly to manufacturing challenges.
  • Strong communication and collaboration skills in cross-functional technical environments.
  • Familiarity with AI-enabled engineering tools and modern data analytics methods.

Preferred Qualifications

  • Hands-on experience with PECVD, PVD sputtering, e-beam evaporation, thermal evaporation, electroplating, ALD, or related deposition technologies.
  • Experience with InP, GaAs, silicon photonics, III-V semiconductors, and optical device manufacturing.
  • Understanding of optical device requirements including film stress control, refractive index control, optical loss reduction, adhesion, and long-term reliability.
  • Experience developing Au-based metallization systems for photonic and optoelectronic devices.
  • Familiarity with semiconductor characterization techniques including ellipsometry, profilometry, four-point probe, SEM, AFM, XRF, XRD, and film stress measurements.
  • Experience with new equipment acceptance, qualification, process transfer, and factory ramp activities.
  • Experience supporting high-volume manufacturing environments.
  • Experience collaborating with equipment suppliers and technology partners on joint development activities.
  • Passion for manufacturing excellence and continuous improvement.
  • Proven success balancing long-term technology development objectives with urgent production support requirements.

Similar Jobs

23 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
204K-290K Annually
Senior level
204K-290K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.
Top Skills: JavaScriptReactTypescriptVue
An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property and Casualty coverages, and convert prospects into policyholders. The role includes paid training and licensing support, remote work, commission opportunities, and a schedule covering four weekdays and one weekend day. Candidates need sales or service experience, strong communication and persuasion skills, PC proficiency, and the ability to obtain a Property and Casualty license.
Top Skills: PcWired High-Speed Internet
2 Hours Ago
In-Office or Remote
300K-350K Annually
Entry level
300K-350K Annually
Entry level
Information Technology • Software • Financial Services • Big Data Analytics
Conduct quantitative research for investment strategies using advanced statistical and mathematical modeling, machine learning, data analysis, portfolio optimization, and algorithm development. Build predictive models and analyze price formation, risk, and financial market drivers. Collaborate with researchers, engineers, and traders to develop scalable systems and solve real-world investment problems.
Top Skills: C++Machine LearningPython

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account