Senior Manufacturing and System Co-Design Workflow Engineer

Experteer Overview In this role you will architect and scale the SMAC workflow that keeps system specifications aligned with manufacturing realities across GPUs, SoCs, and CPUs. You’ll own methodology, build production-grade pipelines, and automate checks to surface drift before it impacts silicon. You’ll integrate the workflow into the end-to-end program spine and establish TPM-driven attestations to prove alignment at every stage. This position drives cross-org adoption and creates foundational infrastructure that enables AI-enabled engineering in a rigorous, portfolio-wide context. You’ll shape a high-impact, scalable solution that pairs systems thinking with silicon expertise. Compensation / Benefits * Define SMAC workflow methodology including schema and semantics * Develop production-grade Python pipelines and automated checks to catch spec drift * Wire SMAC work into end-to-end program spine with TPM attestation * Build agent-ready tooling and CI infrastructure (CLIs, MCPs, bug/spec retrieval, human-in-the-loop checkpoints) * Drive cross-org adoption across Design, Operations & DFX teams Tasks * 8+ years in system software, silicon bring-up, or productization engineering * Strong Python and systems skills with production services and data pipelines experience * Deep understanding of the spec ecosystem (system POR, guard-bands, manufacturing screen specs, test insertion constraints) * Proven cross-org influence and ability to drive adoption of methodologies and workflows * Ability to read silicon and productization outputs and apply AI judiciously Key requirements * equity * benefits * career impact across NVIDIA portfolio

MCPs, retrieval, human-in-the-loop checkpoints) * Drive cross-org adoption across Design, Operations & DFX teams Tasks * 8+ years in system software, silicon bring-up, or productization engineering * Strong Python and systems skills with production services and data pipelines experience * Deep understanding of the spec ecosystem (system POR, guard-bands, manufacturing screen specs, test insertion constraints) * Proven cross-org influence and ability to drive adoption of methodologies and workflows * Ability to read silicon and productization outputs and apply AI judiciously Key requirements * equity * benefits * career impact across NVIDIA portfolio