Assist in developing and validating an automated high-precision mechanism for optical connectors to ensure performance and reliability in semiconductor testing.
Job Summary & Responsibilities
We are seeking a highly motivated Mechanical Engineering intern to assist in the development and validation of an automated high-precision mechanism designed to mate optical connectors to Silicon Photonic (SiPh) and Co-Packaged Optics (CPO) devices.In this role, you will bridge the gap between mechanical design and real-world performance. Your primary focus will be to test, evaluate, and characterize the automated system to identify its operational limits, ensuring sub-micron repeatability and long-term reliability in a high-stakes semiconductor testing environment.
- Primary Responsibilities
- System Characterization: Execute complex test plans to quantify the performance of automated mating hardware, focusing on precision, repeatability, and force profiles.
- DOE & Limit Testing: Design and conduct Design of Experiments (DOE) to identify failure modes related to mechanical misalignment, thermal drift, and component wear.
- Data-Driven Analysis: Collect and process mechanical and optical performance data to define the "Safe Operating Area" for the automation platform.
- Hardware Iteration: Design and prototype custom jigs, fixtures, and end-of-arm tooling (EOAT) to improve alignment accuracy and connector protection.
- Failure Mapping: Create a "Failure Catalog" documenting the mechanical and optical thresholds where the system performance degrades (e.g., insertion loss spikes or physical material wear).
- Currently pursuing a BS or MS in Mechanical Engineering, Mechatronics, or a related field.
Advantest San Jose, California, USA Office
3061 Zanker Road, San Jose, CA, United States, 95134
Similar Jobs
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Serve as Financial Reporting Manager for FQHC healthcare clients: deliver financial reports and KPIs, support budgeting/forecasting and cash flow modeling, provide technical accounting guidance, lead and mentor staff, collaborate with advisory teams, support client onboarding and system setup, improve processes, and assist with technology integrations and training. Travel up to 10%.
Top Skills:
IntacctMicrosoft Office SuiteNetSuiteQuickbooks
eCommerce • Fashion • Retail • Sales • Wearables • Design
Lead Supervisor responsible for on-floor leadership to achieve sales targets, deliver exceptional customer experiences, coach and develop staff, recruit and train, analyze sales trends, enforce company policies and support HR/conflict resolution in absence of senior leadership.
Fintech • Financial Services
Acquire, deepen, and manage relationships with affluent customers through discovery-driven advice, scheduled appointments, lobby engagement, and proactive outreach. Deliver multi-product banking solutions across deposits, lending, investments, home lending, and business banking; coordinate with Wealth and other partners; champion digital adoption; ensure accurate documentation, risk/compliance adherence, and support branch team performance.
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



