MatX Logo

MatX

Power Architect

Reposted 23 Days Ago
Be an Early Applicant
Hybrid
Mountain View, CA, USA
120K-600K Annually
Senior level
Hybrid
Mountain View, CA, USA
120K-600K Annually
Senior level
Lead power architecture for server-class AI accelerators: define budgets, models, and estimation frameworks; correlate architecture to implementation; partner with architecture/RTL/PD/firmware/platform teams; surface cross-functional power tradeoffs; define power-control, throttling, and telemetry to guide implementation.
The summary above was generated by AI
What MatX is Building

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.

We are looking for a Power Architect to drive power architecture and cross-stack power tradeoffs for our next-generation products.

MatX is vertically integrated, which means important power decisions can happen anywhere: architecture, RTL, physical design, platform. This role connects those layers.  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.  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.

What you’ll do
  • Own MatX’s shared power architecture framework for server-class AI accelerators.
  • Define power budgets, models, targets, and tradeoff methods.
  • Build and correlate estimation frameworks that connect architecture intent to implementation reality.
  • Partner with architecture, RTL, DV, PD, and platform teams.
  • Surface and track cross-functional power tradeoffs across the product lifecycle.
  • Drive decisions across power, performance, area, timing, voltage, thermal, reliability, schedule, and deployability.
  • Translate power assumptions and data into actionable guidance for implementation teams.
  • Help define power-control features, throttling, and telemetry.
Who you are:
  • Deep experience in power architecture, power modeling, power methodology, or power-performance analysis for complex chips.
  • Ability to reason across architecture, RTL, PD, firmware, platform, and thermal constraints and tradeoffs.
  • Experience building early models to influence direction and later models for correlation.
  • Strong analytical skills for modeling, automation, and data analysis.
  • Clear judgment in ambiguous cross-functional decisions.
  • Credibility with senior technical counterparts across multiple disciplines.
  • Ability to communicate tradeoffs and drive alignment.
Bonus Points if you have:
  • Experience with AI accelerators, GPUs, datacenter CPUs, networking silicon, or other server-class chips.
  • Experience with ML workloads and perf/Watt analysis.
  • Experience correlating architectural models to RTL, PD, silicon, or platform measurements.
Compensation

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.

  • Early Career - $120,000 - $275,000 + equity
  • Mid Career - $175,000 - $450,000 + equity
  • Senior Career - $275,000 - $600,000 + equity
What We Offer
  • A Stake in our success A cash/equity mix that fits your needs and option to do early exercise
  • Health & Wellness Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)
  • Time To Recharge 4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year
  • Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood
  • Learning & Development $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities
  • Team Connection Team Lunches, quarterly off-sites, and regular town halls
  • Financial Wellbeing 401K and/or Roth IRA, with 5% company contribution, even if you don’t!
  • Flexible Spending Accounts Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses
  • Commute On Us For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!
  • MatX E[x]tras $50 per month to use on the perks you care about most 
  • Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi expense reimbursement

As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.

All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays.

This position requires access to information that is subject to U.S. export controls. This offer of employment is contingent upon the applicants capacity to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.

MatX does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People team and any resumes submitted are deemed to be the property of MatX.

HQ

MatX Mountain View, California, USA Office

Mountain View, CA, United States

Similar Jobs

2 Days Ago
In-Office
Expert/Leader
Expert/Leader
Cloud • Information Technology • Software
Owns end-to-end Microsoft Fabric and Power BI architecture, from Oracle and JD Edwards ingestion through Lakehouse, Warehouse, semantic models, governance, and certified data products. Designs and builds Fabric pipelines, Spark notebooks, Delta optimizations, enterprise Power BI models, security, CI/CD, capacity management, and monitoring. Establishes architecture standards, reviews code, optimizes performance and costs, and mentors engineering, BI, and analytics teams.
Top Skills: Adls Gen2Azure Key VaultCi/CdDataflows Gen2DaxDelta LakeDirect LakeDirectqueryEntra IdFabric Data FactoryGitImport ModeJd Edwards EnterpriseoneLakehouseMicrosoft FabricOlsOnelakeOracle DatabasePl/SqlPower BIPysparkPythonRlsSparkSpark SqlSQL
9 Days Ago
Hybrid
Sunnyvale, CA, USA
230K-275K Annually
Expert/Leader
230K-275K Annually
Expert/Leader
Artificial Intelligence • Hardware • Software • Semiconductor
Lead power delivery architecture and product power strategy for high-performance compute, AI accelerators, and advanced ASIC platforms. Responsibilities include system architecture, vertical wafer power delivery, thermal and cooling optimization, power specifications, vendor selection, and full lifecycle oversight from concept through production. The role requires expertise in high-current, low-voltage systems, multiphase power conversion, thermal modeling, semiconductor power technologies, advanced packaging, chiplets, and 2.5D/3D integration.
Top Skills: 2.5D/3D IntegrationAi/Ml AcceleratorsAsicBumpsChipletsControl LoopsCooling SystemsDc-Dc Power ConversionDigital Power ControllersDrmosFilter DesignIntegrated Power ModulesIntegrated Voltage RegulatorsInterposersMagneticsMultiphase Buck RegulatorsPackage PdnPcbPmicsPower ManagementPower ViasSmart Power StagesSubstratesThermal Modeling
16 Days Ago
Hybrid
Santa Clara, CA, USA
232K-368K Annually
Expert/Leader
232K-368K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Owns multi-generation system power and performance architecture for datacenter and high-performance platforms. Defines HSIO power management, DVFS, P-state, low-power, boot, initialization, reset, and recovery strategies across silicon, firmware, ASIC, board, and platform teams. Drives rack-scale power telemetry and platform coordination, diagnoses system-level performance and power issues, and influences roadmap and product decisions through silicon correlation and release. The role requires deep technical ownership, cross-functional authority, and experience delivering architectures across multiple silicon generations.
Top Skills: Ai ToolsAsicClock DomainsData Center PlatformsDvfsFirmwareHsioP-StatesPerformance OptimizationPower DomainsPower ManagementRack-Level Power TelemetrySiliconSystem Boot FlowsThermal Architecture

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account