Top Tech Jobs & Startup Jobs

Supports high-volume semiconductor manufacturing equipment availability, reliability, qualification, troubleshooting, maintenance effectiveness, and continuous improvement. Performs root cause analysis, corrective actions, equipment installations, validations, documentation updates, and performance analysis. Collaborates with operations, maintenance, process engineering, quality, facilities, technicians, and vendors to resolve issues, improve uptime and yield, and maintain safety and manufacturing standards.

Supports semiconductor manufacturing process quality, productivity, and continuous improvement. Reviews control plans, FMEA, OCAP, audits, and complaints; develops corrective and preventive actions; monitors process capability, KPIs, OEE, and machine capability; and contributes to automation, lean, SPC, and cross-functional improvement projects.

Design and validate high-speed analog and mixed-signal SerDes circuit blocks. Responsibilities include transistor-level design, Cadence Virtuoso simulation, PVT and Monte Carlo analysis, layout collaboration, silicon validation, laboratory testing, performance optimization, documentation, and cross-functional collaboration. The role also involves scripting, data analysis, automation, and responsible use of AI-assisted engineering tools.

Supports the Central Business Unit Operations Finance team through financial reporting, variance analysis, forecasting, annual planning, data management, and finance operations. Prepares reports and dashboards, reconciles data from multiple systems, maintains financial models and planning templates, and supports process improvements, automation, system testing, and control enhancements using SAP, Anaplan, Power BI, Excel, and related tools.

Supports financial reporting, revenue forecasting, consolidation, variance analysis, and reporting governance for the Customer Solutions Group. Analyzes financial and operational data, builds dashboards, improves data quality, and supports AI enablement, process automation, and responsible analytics adoption. Partners with Finance, IT, data, and technology teams to translate business needs into reporting and automation solutions.

Develops multimodal deep learning and reasoning models for Edge AI, including time-series, audio, video, and sensor data. Responsibilities span data collection, annotation, preprocessing, model training, evaluation, supervised fine-tuning, reinforcement learning, knowledge distillation, transformer modification, and multi-agent orchestration. The role also prototypes emerging AI methods, documents research, and publishes results. Requires extensive AI/ML product experience, a related PhD, and a strong publication record.

Develop and evaluate multimodal deep learning and reasoning models for Edge AI, covering data collection, annotation, preprocessing, training, post-training, reinforcement learning, knowledge distillation, and rigorous evaluation. Build agentic and multi-agent reasoning systems, modify transformer architectures, and prototype in Python using PyTorch or TensorFlow. Document findings through reports, publications, and conference submissions while exploring emerging approaches such as world models, JEPA, diffusion, and deep research automation.

Analyzes customer pricing, profitability, discounts, contracts, market dynamics, and price leakage to support growth and margin objectives. Partners with Sales and Business Unit teams on negotiations, pricing strategy, governance, compliance, and value-based pricing. Develops pricing models, presents recommendations to stakeholders, tracks KPIs, and maintains account and pricing expertise. Requires strong quantitative, communication, collaboration, and analytical skills, with proficiency in Excel and data analysis tools.

Analyzes and improves semiconductor wafer manufacturing operations in a complex cleanroom environment. Develops capacity, headcount, manufacturing efficiency, and production standards models; identifies process constraints; optimizes inventory flow, layouts, and production systems; reduces waste and costs; and applies visual factory concepts. Works collaboratively with multidisciplinary Engineering and Operations teams to improve productivity and manufacturing performance.

Oversee site-level, cross-functional projects from initiation through closure. Responsibilities include planning, scheduling, stakeholder communication, coordinating deliverables across teams, organizing project data and documentation, identifying and mitigating risks, tracking progress, and conducting post-mortems. The role requires strong problem-solving, communication, organization, time management, and analytical skills, along with a bachelor's degree in industrial engineering or a related manufacturing, engineering, or project management field.