Top Tech Jobs & Startup Jobs

Principal Product Manager responsible for defining software, digital, AI, and embedded platform products. Translates customer and market needs into requirements, prioritizes features, develops roadmaps and business cases, and drives lifecycle planning. Partners with engineering, business units, program teams, and customers to resolve tradeoffs, improve platform reuse, support launches, and align product strategy with technical feasibility, customer value, and commercial goals.

Defines and manages software and digital platform products from concept through end of life. Translates customer, market, and business needs into product requirements, roadmaps, priorities, and business cases. Partners with engineering, business units, program teams, and customers to guide architecture, resolve tradeoffs, improve software reuse, and support product launches. Drives cross-functional alignment, customer adoption, documentation, and lifecycle execution for embedded software and software-enabled hardware platforms.

Owns and improves photolithography manufacturing equipment reliability, availability, safety, and performance. Leads troubleshooting, corrective actions, OEE initiatives, maintenance strategies, equipment qualification, modifications, and transfers. Partners with manufacturing, process engineering, quality, and supply chain on capacity, yield, and cost improvements. Manages spare parts and suppliers while mentoring engineers and technicians and serving as a technical subject matter expert.

Provides technical ownership and leadership for wafer-level MEMS capping processes in high-volume semiconductor manufacturing. Drives continuous improvement, yield optimization, productivity and cost improvements, root cause analysis, corrective actions, process standards, and KPI performance. Reviews SPC and CPK data, develops new capabilities, collaborates across equipment and manufacturing teams, and mentors engineers and technicians.

Provides technical leadership for high-volume semiconductor manufacturing processes and equipment. Owns process modules, improves yield, throughput, cycle time, quality, reliability, and cost, and leads investigations using structured root-cause methods. Develops and transfers new processes, maintains specifications and control plans, applies SPC and DOE, and mentors engineers and technicians while coordinating cross-functional manufacturing, quality, equipment, facilities, and development teams.

Develop and implement machine learning models for semiconductor applications, including signal processing, sensor data analysis, and edge computing. Responsibilities include feature engineering, data preprocessing, model evaluation and optimization, ML pipeline development, and collaboration with data scientists and engineers. The role requires Python proficiency, machine learning framework experience, data modeling skills, and knowledge of ML deployment processes.

Designs and supports power-conversion products through circuit design, simulation, testing, troubleshooting, system integration, and customer support. Creates application notes, design tools, demonstrations, training, reference designs, and technical documentation. Requires expertise in switching converters, control-loop compensation, analog and mixed-signal circuits, PCB layout, EMI/EMC compliance, laboratory validation, and root-cause analysis.

Provides customer-facing technical support for high-speed converters, mixed-signal systems, and integrated RF transceivers. Assesses system requirements, recommends products and reference designs, troubleshoots hardware and software issues, supports FPGA and embedded platforms, and collaborates with internal engineering teams on product improvements. Develops application notes, technical articles, training materials, and reference designs while traveling up to 10% for customer visits.

Architects and develops scalable big data pipelines, ETL processes, real-time analytics frameworks, and cloud data infrastructure for battery and time-series data. Ensures data quality, designs storage and data models, supports production AI/ML workflows, and integrates model outputs into pipelines. Translates business and engineering needs into functional specifications while coordinating internal and external stakeholders.

Develop and validate TLVR and DC-DC power conversion solutions for CPU and GPU applications. Collaborate with IC design teams, test evaluation boards, support customer applications, troubleshoot power platforms, supervise laboratory activities, and create technical documentation. The role requires electrical engineering expertise, digital power systems knowledge, Python automation, board-level debugging, laboratory testing, and control-system modeling.