Set the direction for observability, automation, self-healing, and resilience platforms, improving service stability, incident detection, and operational efficiency at scale.
Early engagement in pre and post silicon phases, including test flow planning, test coverage bring-up, test flow integration, and test hardware checkout.
Set the direction for observability, automation, self-healing, and resilience platforms, improving service stability, incident detection, and operational efficiency at scale.
Provide inputs for updating of related documents and is responsible for their correct contents, eg Process of Record, Assembly Design Rule, Process Roadmap, Failure catalogue, Control Plan, Maintenance checklist, Unit process roadmap for development projects.
Candidate is expected to work closely with the securities lending trading desk to gather requirements, innovate and architect solutions, both on premises and using public cloud technologies.
Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
Provide inputs for updating of related documents and is responsible for their correct contents, eg Process of Record, Assembly Design Rule, Process Roadmap, Failure catalogue, Control Plan, Maintenance checklist, Unit process roadmap for development projects.
Assess semiconductor reliability risks and interpret qualification and reliability test results to support device, technology and supplier qualification.
Bachelor’s degree or higher in an engineering field such as Mechanical Engineering, Electrical Engineering, Industry Engineering, Engineering Management, Computer science, Information Engineering.