Optimize opto-electronic manufacturing processes for optical modules by improving yield, reducing cycle times, conducting root cause analysis, implementing corrective actions, developing work instructions and training, monitoring production metrics, leading Lean initiatives, and supporting equipment sourcing and product launches. The role collaborates cross-functionally to resolve released-product engineering challenges and reduce costs.
Job Family Description
As a Process Engineer at Nokia's Allentown, PA facility, you will play a key role in optimizing Opto- Electronic manufacturing processes. You’ll collaborate with a dynamic team focused on advancing our Intelligent Transport Network—enhancing speed, capacity, and scalability in communications. Your responsibilities will include improving yield, conducting root cause analysis, and refining mechanical assembly methods for optical modules. You'll also drive LEAN manufacturing initiatives and support cost-reduction efforts, playing a crucial part in overcoming engineering challenges for released products. We foster an innovative and agile work environment where your ideas can guide to immediate action, allowing you to make a tangible impact in a fast-paced, collaborative setting that values creativity and effective communication across all levels of the organization.
- Guide process engineering for complex optical packages, ensuring high-quality production standards.
- Drive end-to-end yield improvements and reduce cycle times through innovative process enhancements.
- Conduct root cause analysis and implement corrective actions for production failures, enhancing operational efficiency.
- Develop and maintain work instructions, training programs, and process control metrics for optical module assembly.
- Monitor and report production performance and yield results to the production team and management.
- Champion LEAN manufacturing principles and cost-reduction initiatives across the facility.
- Collaborate with cross-functional teams to resolve engineering challenges for released products.
- Source and develop new equipment to support product launches and capacity expansion efforts.
You have:
- BS or MS in science or engineering
- Strong mechanical and analytical skills
- Detail-oriented with quantitative analysis abilities
- Excellent verbal and written communication skills
It would be nice if you also had:
- Experience with JMP for statistical analysis
- Familiarity with Agile and SAP systems
- MRSI Bonder or optical alignment experience
- CAD skills in SolidWorks, AutoCAD, or Creo
Similar Jobs
.png){kind=logo}
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
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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Sell DX SaaS solutions to mid-market customers, helping engineering leaders improve team productivity and developer experience. The role is remote and supports customer acquisition and revenue growth across eligible Atlassian hiring locations.
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
