Nokia Logo

Nokia

Staff Manufacturing Integration Engineer

Reposted 12 Days Ago
In-Office or Remote
Hiring Remotely in United States
Entry level
In-Office or Remote
Hiring Remotely in United States
Entry level
Lead semiconductor process integration for InP photonic integrated circuit manufacturing. Troubleshoot process deviations and test failures, maintain fab specifications and test structures, monitor process capability, and drive yield, reliability, manufacturability, throughput, and cycle-time improvements. Support technology development, process transfer, qualification, and high-volume manufacturing ramp while collaborating with process engineering, operations, and technology development teams.
The summary above was generated by AI

As a Staff Process Integration Engineer, you will be responsible for ensuring high-quality, stable production of InP-based Photonic Integrated Circuit (PIC) products. This role is hands-on and data-driven, focusing on process analysis, experiments and cross-functional problem solving. You will play a key role in ramping a new high-volume manufacturing fab and driving continuous improvements in yield, reliability, and manufacturability.
You will collaborate closely with Process Engineering, Operations, and Technology Development teams to troubleshoot issues, qualify process improvements, maintain test structure designs, and support next-generation PIC platforms.
 

Responsibilities
  • Troubleshoot and resolve process deviations and test failures through detailed analysis of process history and test data
  • Establish, document, and maintain inline FAB process specifications
  • Continuously monitor inline FAB process capability (CPK) and identify risks
  • Analyze the impact of design rules on process yield and performance; develop and maintain test structures for effective process control
  • Lead yield improvement initiatives from problem definition through qualification and production implementation
  • Support next-generation PIC platform development, including technology development, transfer, and manufacturing ramp activities
  • Collaborate with Process Engineering to improve process stability, robustness, and capability
  • Partner with Operations to improve fab throughput, cycle time, and overall manufacturing efficiency
Qualifications
  • M.S. or Ph.D. in Electrical Engineering, Physics, Materials Science, or a related field
  • Strong understanding of semiconductor processes and device physics
  • Hands-on experience working in a semiconductor wafer fab with experience on III-V semiconductor wafer processes, including epitaxy, wet etching, plasma etching, metal deposition, and photolithography
  • Working knowledge of statistical process control (SPC) methodologies
  • Experience with database interrogation, statistical data analysis, and design of experiments (DOE)
  • Excellent communication skills, with the ability to clearly present data, insights, and recommendations to cross-functional and executive audiences
About Us
Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. 

Learn more about life at Nokia.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. 

About the Team
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

2 Minutes Ago
In-Office or Remote
Texas, USA
167K-391K Annually
Expert/Leader
167K-391K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads inside sales teams, including managers, by setting organizational direction, managing performance, developing talent, and driving strategic business planning. Builds customer and partner relationships, supports business growth, manages costs, advises leadership, removes execution barriers, and oversees employee development and performance processes. The role also requires knowledge of sales strategy, workforce management, negotiation, business planning, technology, market trends, and outsourcing industry practices.
4 Minutes Ago
Remote or Hybrid
175K-215K Annually
Senior level
175K-215K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Develop high-performance C++ software for machine learning, computer vision, inverse procedural modeling, and 3D content generation. Apply linear algebra, probability, and geometry to large-scale geospatial datasets. Collaborate with leadership on product requirements, manage code with Git, deploy and test on remote Unix-based systems, and contribute to research-driven computer graphics and gaming applications.
Top Skills: 3D ModelingC++CmakeComputer GraphicsComputer VisionGeospatial DataGitLinuxMachine LearningmacOSPythonUnix ShellUnreal Engine
6 Minutes Ago
In-Office or Remote
Entry level
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead strategy and execution for an open-weight LLM inference platform. Manage GPU capacity, inference optimization, model migrations, availability, benchmarking, governance, cost efficiency, and model selection. Translate business goals into technical priorities, develop roadmaps and cost models, and coordinate engineers, architects, security, legal, finance, product, and external cloud or GPU partners.
Top Skills: Cloud InfrastructureGpu Capacity PlanningInference OptimizationLlm Inference PlatformsModel BenchmarkingOpen-Weight ModelsOss Models

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account