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Role description

Sr. Staff Power Performance Architect

d-Matrix logod-Matrix
TypeFull-time
WorkplaceHybrid
SeniorityStaff / Lead
Salary$165,000–$265,000
LocationSanta Clara, CA
Posted9/13/2026
Engineering

Join d-Matrix and help build the future of AI inference. We’ve pioneered a memory-centric architecture that brings compute directly into memory, making AI faster, more energy efficient, and accessible on a global scale. From chips and software to rack-scale systems, our team is tackling some of AI infrastructure’s hardest challenges — and shipping breakthrough technology today. If you want to create what comes next and help make infinite inference possible, we’d love to hear from you.

Our culture is built on respect, collaboration, and direct communication. We value humility, we believe our different perspectives lead to better solutions, and we’re looking for people who are driven by execution and energized by hard problems.

Role Overview

d-Matrix is looking for a Senior Staff Power Performance Architect to own pre-silicon power estimation across our next-generation AI accelerators. In this role, you will drive both RTL-level and physical-design-level power estimation, and build an architectural power estimation tool that models power from system configuration and die-level metrics for AI workloads. You will partner closely with front-end architects, DV engineers, and backend design teams to identify power activity windows, define performance monitoring requirements, and translate that analysis into hardware capability improvements and die-level design changes. This role also contributes directly to micro-architecture and RTL design, verification, and silicon bring-up, making it central to how d-Matrix balances performance and power efficiency at the silicon level.

What You Will Do

  • Own pre-silicon power estimation for design blocks, spanning both RTL-level and physical-design-level estimation.

  • Partner with front-end and DV engineers to identify power activity windows, and work with the RTL team to implement estimation feedback and optimize power.

  • Build an architectural power estimation tool for AI workloads that computes power from system configuration and die-level metrics, including workload profiling based on memory size, bandwidth, and gate counts of compute/memory blocks.

  • Collaborate with frontend architects and backend design to define performance monitor availability, system requirements, and usage, then drive that analysis into hardware capability improvements and die-level design modifications.

  • Lead micro-architecture and RTL design, synthesis, and logic/physical power-performance verification using leading-edge CAD tools and semiconductor process technologies.

  • Design and implement performance-enabling and power-saving/monitoring functions that support efficient design, test, and debug, and participate in silicon bring-up and validation.

What You Will Bring

  • 8+ years of relevant experience in IC power/performance architecture, RTL, or physical design, with a Master's degree in Electrical Engineering, Computer Engineering, or Computer Science.

  • Solid understanding of power, performance, micro-architecture, RTL, and physical design in the context of digital system and IC design, including the full IC design flow (Arch → uarch → RTL → Schematic → Layout → Verification → Fabrication → HVM).

  • Familiarity with at least one EDA tool for power estimation.

  • Ability to move fluidly between RTL, physical design, and automation, including building script utilities to improve design execution productivity across the design team.

  • Programming proficiency in TCL and Python, with experience using libraries, APIs, data parsing, and algorithmic thinking.

  • Self-motivated with a fast, iterative approach to design work, sound engineering judgment, and a bias toward action.

Preferred Qualifications

  • Exposure to power estimation and performance metrics such as TDP, PMAX, EDP, Peak, and Average.

  • Familiarity with power/frequency scaling techniques (DFS, DVFS, AFS, AVFS).

  • Familiarity with power delivery network (PDN) analysis, including resonance, impedance (Z(f)), and voltage droop analysis.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication, and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individuals interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of all applicants. Thank you for your understanding and cooperation.

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Company info

d-Matrix logo

d-Matrix

AI Infrastructure Built for Real-Time Inference

d-Matrix is an AI infrastructure company building the next generation of inference computing for the era of generative and agentic AI. Founded in 2019, d-Matrix is rethinking AI inference from the ground up with a full-stack approach spanning silicon, systems, networking, and software. Its flagship products, including the Corsair™ inference platform and JetStream™ inference fabric, are purpose-built to deliver high-performance, low-latency, and energy-efficient AI inference at datacenter scale. The company has raised nearly $500 million from a global syndicate of leading venture capital firms, sovereign wealth funds, and strategic investors, including Playground Global, Bullhound Capital, M12 (Microsoft’s Venture Fund), SK hynix, Temasek, Qatar Investment Authority, and Singapore’s EDBI. The company’s most recent financing valued d-Matrix at approximately $2 billion. As AI shifts from training to inference, the demands on AI infrastructure are changing. d-Matrix is building the infr

Private companySeries CMega round
Founded2019
HQSanta Clara, United States
Size
201–500 employees
IndustrySemiconductor Manufacturing
Latest fundingSeries C · Nov 12, 2025
Investors
BullhoundCapitalTriatomic CapitalTemasek

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