Design and develop electrical failure analysis tools, including optical subsystems, laser-based stimulation, and photon emission detection for semiconductor failure analysis.
Compensation
The salary range estimated for this position based in California is $107,800.00–$150,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
Responsibilities
Design and develop electrical failure analysis tools
Assist in the design and optimization of optical subsystems, including infrared imaging for silicon inspection, laser-based stimulation and probing, and photon emission detection in the visible and near-infrared ranges
Collaborate with multidisciplinary engineering teams to translate product requirements into prototypes that meet specifications, and conduct experiments to validate performance
Investigate applications of existing technologies in other domains, working with product applications engineers and marketing to identify unmet needs and requirements
Support operations and applications teams in resolving customer issues
Requirements
Bachelor's degree in Physics, Electrical Engineering, Mechanical Engineering, or a related discipline. A Master's degree is preferred.
Nice to have: laser systems
Nice to have: IR optics
Nice to have: photon detection systems such as photomultiplier tubes, avalanche photodiodes, and cameras
The BI Business Analyst reports to the Senior BI Manager and serves as a bridge between business stakeholders and technical teams, gathering and translating business requirements, analyzing complex data, and developing reports, dashboards, and analytics solutions that support informed decision-making across the organization.
Compensation
$125,000 - $135,000 / Year
Responsibilities
Partner with stakeholders across the business to understand objectives, reporting needs, and operational challenges.
Gather, document, and translate business requirements into scalable reporting and analytics solutions.
Analyze data to identify trends, opportunities, risks, and actionable business insights.
Design, develop, and maintain dashboards, reports, scorecards, and visualizations using BI tools such as MicroStrategy and Tableau.
Ensure the accuracy, integrity, usability, and governance of reporting solutions.
Requirements
High School Diploma or Equivalent
Nice to have: restaurant or hospitality industry experience
Hands on development and support of new or existing data applications.
Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design.
Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
Provide technical guidance to the team for implementing complex data solutions.
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
Requirements
Bachelor’s degree in computer science or related engineering field
Keysight is seeking a PhD intern to explore machine learning representations for variable electronic designs where the underlying structure can change across design points. The work extends beyond circuit topology to include physical layout, place-and-route structure, geometric relationships, connectivity, and design metadata.
Responsibilities
Design and prototype graph-based and structured data encodings for variable electronic designs spanning circuit topology, physical layout, and place-and-route information.
Represent design attributes such as component or block identity, type, parameters, connectivity, placement, routing, geometry, hierarchy, and relevant constraints.
Analyze existing fixed-structure assumptions in data pipelines and identify where they limit generalization to new circuits, layouts, or routing patterns.
Develop mapping and validation utilities between source design data, such as netlists, layout representations, placement/routing metadata, and model-ready inputs.
Integrate representation prototypes with graph learning, surrogate modeling, and design optimization workflows.
Liderar el proceso de enseñanza y aprendizaje de la asignatura de minería de datos de acuerdo con el modelo educativo institucional y el marco valórico.
Responsibilities
Liderar el proceso de enseñanza y aprendizaje de acuerdo con el modelo educativo
Movilizar formación y experiencia profesional, valores y conocimiento disciplinar
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