Top Tech Jobs & Startup Jobs

Lead bring-up, validation, characterization and debug of DDR/HBM memory subsystems for AI compute silicon. Develop and run functional, stress, performance and corner-case tests, perform PHY and analog analysis, collect and analyse validation data, debug hardware/firmware/system issues, and build Python automation and reporting tools. Collaborate across architecture, RTL, firmware, platform and systems teams to ensure production readiness and improve validation methodologies and infrastructure.

Lead cross-functional NPI programmes to deliver manufacturing-ready hardware. Define plans, manage dependencies and DfX reviews, align global teams and external partners, surface risks, drive decisions, and improve test, lab and characterisation processes to achieve manufacturing readiness.

Lead Go-based development to integrate a new AI accelerator into Kubernetes clusters, mentor engineers, collaborate cross-functionally, troubleshoot complex issues, contribute to upstream projects, and maintain documentation.

Lead the end-to-end manufacturing test strategy from board (L6) to rack (L11), manage a 3-5 engineer team, partner with hardware/firmware/validation/quality/JDM, define test infrastructure and capacity, drive yield improvements, CAPA, and continuous manufacturing quality improvements.

The Staff Programme Manager will oversee the delivery of manufacturing test solutions for New Product Introductions, coordinating cross-functional teams and managing dependencies for effective product development.

The Manufacturing Product Engineer will collaborate with various teams to enhance manufacturing processes, address production issues, and apply data-driven methodologies for continuous improvement.

The role involves developing test automation frameworks, translating hardware specifications into tests, and collaborating with engineering teams for AI hardware validation.

The role involves validating and debugging hardware platforms, focusing on LPDDR memory interfaces and working with various engineering teams to ensure system performance and reliability.

Responsible for optimizing yield, quality and cost throughout the product lifecycle, collaborating with multiple teams to improve manufacturing processes and reliability.

Lead validation execution, automation, and quality for silicon and platform products. Develop scalable validation methodologies, automation frameworks, and test infrastructure; drive test coverage, root-cause analysis, release readiness, and cross-disciplinary collaboration. Mentor engineers and influence validation strategy and quality practices.