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Manage the Reliability Lab Operations, focusing on testing, compliance, process improvement, and team development to ensure high-quality and efficient testing of new products.

Design and verify digital blocks and subsystems: define specifications, create micro-architecture, implement RTL (Verilog/SystemVerilog), optimize for PPA, develop timing constraints and synthesis flows, collaborate with DV/DFT/PD teams, mentor junior engineers, and support silicon validation and debug.

Architect and develop UVM and formal verification testbenches for complex digital IP and SoC subsystems, define test plans, generate coverage metrics, integrate block and subsystem environments, evaluate third-party IP, support post-silicon verification, and collaborate with analog co-sim and firmware teams.

Design and validate high-performance power-management circuits for portable applications, including leading development and integration of power blocks, system architecture, and collaboration with multi-site teams.

The role involves Dynamic and Static IR drop assessment and closure for SoC and Block level, evaluating power grid robustness, and collaborating with teams to optimize power distribution and voltage response modeling.

Manage and support enterprise transformation initiatives by assisting project planning, tracking, enterprise systems implementation, business analysis, change management, and AI/data-driven integration to drive adoption and deliver technology-enabled solutions.

The Analyst, Backend Planning and Operations will organize, analyze, and present data related to materials and supply forecasts to aid decision-making.

Lead product application engineering: develop training and customer collateral, design and test application/reference boards and demo systems, provide customer technical support to secure design-ins, mentor junior engineers, perform hardware/software/system testing and debugging, and report design/reliability issues to product teams.

Build and operate an enterprise AI platform (MLOps/LLMOps) that integrates with cloud model providers, provides reusable components/APIs, ensures observability and reliability, and enforces security, cost, and governance to accelerate internal AI adoption.

Lead complex digital design projects, providing technical leadership and mentoring engineers while influencing product direction and methodology improvements.