Director Systems NPI Engineering

d-Matrix Corporation

Job Overview

Location

Santa Clara

Job Type

Full-time

Full Job Description

📋 Description

• Lead end-to-end NPI execution for next-generation AI accelerator hardware from Concept through EVT, DVT, PVT, and MP across multiple concurrent programs.
• Own systems-level architectural sign-off and engineering change control for accelerator cards, trays, and rack-scale platforms.
• Build and lead the NPI engineering organization, including board/system HW design, FPGA design, and NPI lab operations, while partnering with matrixed teams in SI/PI, package, thermal, and mechanical engineering.
• Direct technical engagement with silicon partners, interconnect/IP providers, networking-ASIC suppliers, and tier-1 ODMs to ensure design alignment and supply chain readiness.
• Support hyperscaler customer engagements at the technical level, including design wins, proof-of-concept (PoC) activities, and integration deep-dives.
• Define and drive the validation matrix for each program, ensuring risk mitigation and a clean hand-off to production ramp.
• Deliver high-power, high-density AI accelerator systems (multi-hundred-watt) into hyperscaler and HPC environments with strict adherence to specifications, cost targets, and schedules.
• Manage the in-flight portfolio of accelerator cards, AI-fabric NICs, and scale-up rack programs, shaping the future structure and capabilities of the NPI engineering team.
• Ensure manufacturing readiness across all hardware components, including firmware bring-up, signal integrity, power delivery, and thermal/mechanical integration.
• Collaborate with Sr. Director, Systems Engineering to align NPI strategy with broader product roadmap and corporate objectives.
• Maintain rigorous engineering discipline across all phases of NPI, balancing innovation with production-grade reliability and scalability.
• Drive cross-functional alignment between design, validation, manufacturing, and customer engineering teams to eliminate bottlenecks and accelerate time-to-market.
• Establish best practices for systems-level verification, test automation, and design-for-manufacturability in high-volume AI hardware production.
• Represent d-Matrix in technical discussions with key hyperscaler customers, ensuring product fit for large-scale deployment environments.
• Foster a culture of direct communication, humility, and execution-driven collaboration within the NPI engineering team.

🎯 Requirements

• 15+ years in systems/hardware engineering for compute or networking platforms, with 5+ years leading multi-team NPI execution at director or senior engineering-management level.
• End-to-end ownership of at least two NPI programs taken from Concept through MP at the card or rack level.
• Deep working knowledge across the systems stack: board design, SI/PI, power delivery, thermal/mechanical, FW bring-up, validation, and manufacturing readiness.
• Experience delivering high-power, high-density systems (multi-hundred-watt accelerators or dense rack-scale platforms) into hyperscaler or HPC environments.
• Track record leading technical partner engagement (silicon, interconnect, ASIC, ODM) and hyperscaler customer interaction.
• Demonstrated success building and scaling NPI engineering organizations.
• BS in Electrical Engineering, Computer Engineering, or related discipline.

🏖️ Benefits

• Join a focused team building the inference compute platform for the next decade of generative AI.
• Lead high-impact programs that ship to the largest cloud and enterprise customers.
• Operate with the autonomy of an early-stage company and the rigor of production-grade hardware delivery.
• Work in an inclusive environment that values humility, direct communication, and collaborative problem-solving.

Skills & Technologies

Hybrid

Degree Required

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d-Matrix Corporation

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About d-Matrix Corporation

d-Matrix designs silicon for high-efficiency AI inference at scale. Its Corsair compute platform combines in-memory computing with a digital approach to slash latency and energy use in transformer and generative workloads. Targeting hyperscale data centers and edge deployments, the company offers hardware and software stacks that integrate into existing AI pipelines. Founded in 2019 and headquartered in Santa Clara, California, d-Matrix serves cloud and enterprise customers seeking cost-effective alternatives to GPUs for large language model serving.

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