Top Tech Jobs & Startup Jobs

Lead full-chip and block-level physical design for advanced-node tapeouts. Own floorplanning, placement, clock-tree synthesis, routing, timing, power, signal-integrity, IR-drop, EM, and physical verification signoff using Synopsys ICC2 and Cadence Innovus. Resolve closure issues, collaborate with CAD, methodology, and IP teams, support delivery schedules, and mentor junior engineers.

Lead full-chip and block-level physical design from floorplanning through routing and signoff. Drive timing, power, congestion, IR-drop, electromigration, and physical verification closure using ICC2 and Innovus. Collaborate with CAD, methodology, IP, and cross-functional design teams on advanced-node tapeouts, while mentoring junior engineers and supporting delivery schedules.

Lead full-chip and block-level physical design, including floorplanning, placement, CTS, routing, timing, power, signal-integrity, and physical verification signoff. Drive advanced-node tapeouts, resolve timing and congestion issues, collaborate with CAD, methodology, and IP teams, and mentor junior engineers.

Lead full-chip and block-level physical design, including floorplanning, placement, clock-tree synthesis, routing, timing, power, signal-integrity, and signoff closure. Use Synopsys ICC2 and Cadence Innovus for advanced-node tapeouts, resolve congestion and timing issues, collaborate with CAD, methodology, and IP teams, and mentor junior engineers.

Lead full-chip and block-level physical design for advanced-node tapeouts. Own floorplanning, placement, clock-tree synthesis, routing, timing, power, signal integrity, IR-drop/EM, and physical verification signoff using Synopsys ICC2 and Cadence Innovus. Resolve congestion and closure issues, collaborate with CAD, methodology, and IP teams, manage delivery cadence, and mentor junior engineers.

Designs and leads enterprise Data & AI solutions on the Databricks Lakehouse across major cloud platforms. The role delivers end-to-end implementations, builds Spark and Delta Lake pipelines, optimizes performance and costs, and establishes DevOps, governance, security, and MLOps practices. It also involves customer workshops, executive presentations, stakeholder engagement, team mentoring, and architecture leadership throughout delivery.

Build and maintain production-ready full-stack Generative AI and LLM applications. Develop backend systems, APIs, frontend interfaces, database integrations, and agent-based solutions using frameworks such as LangChain, LangGraph, or Semantic Kernel. Containerize and deploy applications to cloud platforms, implement monitoring and validation, and follow software engineering practices including testing, documentation, and code reviews.

Design and implement enterprise data architectures, models, governance frameworks, modern data platforms, lakehouses, and reusable data products. Define data domains, ownership, critical data elements, metadata, lineage, access, and security models. Collaborate with business and technology stakeholders while providing technical leadership, coaching, and hands-on execution across complex data environments.

Manage end-to-end sales operations, including order processing, sales tracking, invoicing, collections, reporting, forecasting, and CRM/ERP data management. Coordinate with sales, supply chain, finance, and customer service teams to ensure efficient order execution and delivery. Analyze performance metrics, maintain dashboards, improve processes, and support target setting and business decision-making.

Drive B2B sales for background verification services by generating leads, acquiring clients, managing the full sales cycle, meeting revenue targets, preparing proposals, maintaining CRM pipelines, and coordinating onboarding. Build relationships with HR and business decision-makers, conduct presentations and negotiations, monitor competitors, and grow existing accounts through upselling and cross-selling.