Power Architect
MatX
<h2><strong>What MatX is Building</strong></h2> <p>MatX's mission is to make the world’s best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability.</p> <p>We are looking for a Power Architect to drive power architecture and cross-stack power tradeoffs for our next-generation products.</p> <p>MatX is vertically integrated, which means important power decisions can happen anywhere: architecture, RTL, physical design, platform. This role connects those layers.&nbsp; You will work with domain owners as true technical counterparts, understand their constraints, and help MatX make better power decisions as the design moves from idea through deployment.&nbsp; You’re not expected to own every implementation domain, but you are expected to understand enough across the stack to surface tradeoffs, build shared models, and drive aligned decisions.</p> <h2>What you’ll do</h2> <ul> <li>Own MatX’s shared power architecture framework for server-class AI accelerators.</li> <li>Define power budgets, models, targets, and tradeoff methods.</li> <li>Build and correlate estimation frameworks that connect architecture intent to implementation reality.</li> <li>Partner with architecture, RTL, DV, PD, and platform teams.</li> <li>Surface and track cross-functional power tradeoffs across the product lifecycle.</li> <li>Drive decisions across power, performance, area, timing, voltage, thermal, reliability, schedule, and deployability.</li> <li>Translate power assumptions and data into actionable guidance for implementation teams.</li> <li>Help define power-control features, throttling, and telemetry.</li> </ul> <h2>Who you are:</h2> <ul> <li>Deep experience in power architecture, power modeling, power methodology, or power-performance analysis for complex chips.</li> <li>Ability to reason across architecture, RTL, PD, firmware, platform, and thermal constraints and tradeoffs.</li> <li>Experience building early models to influence direction and later models for correlation.</li> <li>Strong analytical skills for modeling, automation, and data analysis.</li> <li>Clear judgment in ambiguous cross-functional decisions.</li> <li>Credibility with senior technical counterparts across multiple disciplines.</li> <li>Ability to communicate tradeoffs and drive alignment.</li> </ul> <h2>Bonus Points if you have:</h2> <ul> <li>Experience with AI accelerators, GPUs, datacenter CPUs, networking silicon, or other server-class chips.</li> <li>Experience with ML workloads and perf/Watt analysis.</li> <li>Experience correlating architectural models to RTL, PD, silicon, or platform measurements.</li> </ul> <h2><strong>Compensation</strong></h2> <p>The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.</p> <ul> <li>Early Career - $120,000 - $275,000 + equity</li> <li>Mid Career - $175,000 - $450,000 + equity</li> <li>Senior Career - $275,000 - $600,000 + equity</li> </ul> <h2><strong>What We Offer</strong></h2> <ul> <li><strong>A Stake in our success&nbsp;</strong>A cash/equity mix that fits your needs and option to do early exercise</li> <li><strong>Health &amp; Wellness&nbsp;</strong>Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (eve