AI Accelerator Silicon Architect
MatX
<p><strong>What MatX Is Building</strong></p> <p>MatX designs hardware tailored for the world’s best AI models. Our hardware will make a given level of intelligence available 3-5 years sooner. We are developing vertically integrated full-stack solutions from silicon to systems including hardware and software to train and run the world’s largest models. MatX is seeking an Architect to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. The successful candidate for this role will be responsible for delivering performant silicon architecture at the full-chip or subsystem level.</p> <p>MatX is seeking an AI Accelerator Compute Architect to help define the compute architecture for our next-generation GenAI accelerators.</p> <h3>What You'll Do</h3> <ul> <li>Define the architecture for MatX’s AI compute subsystem, including ISA, connectivity, memories, and control..</li> <li>Derive architectural requirements from AI use cases.</li> <li>Conduct analytical and empirical performance analysis.</li> <li>Collaborate closely with Research, SW, and HW teams to ensure we architect just-right silicon for workloads, programmability, and PPA.</li> <li>Work through power, area, performance tradeoffs with stakeholders.</li> <li>Support test plan reviews, first-silicon bring-up, and post-silicon debug.</li> </ul> <h3>Who You Are</h3> <ul> <li>Strong background in computer architecture, especially AI accelerators, GPUs, TPUs, vector processors, SIMD, VLIW, or other parallel compute architectures.</li> <li>Experience translating workloads into hardware architecture.</li> <li>Solid microarchitecture fundamentals.</li> <li>First-principles understanding of latency, throughput, utilization, and scalability.</li> <li>Familiarity with numeric formats, quantization, rounding, and precision/performance tradeoffs.</li> <li>Programming, code optimization, or kernel-level performance analysis experience.</li> <li>Excellent written and verbal communication skills.</li> <li>Familiarity with performance-optimization techniques in large-scale transformer models is a plus.&nbsp;</li> </ul> <h3>Work Location</h3> <p>This is a hybrid role based in our Mountain View, CA office, with in-office work Tuesday through Thursday. In exceptional cases, remote work arrangements may be considered.</p> <h3><strong>Compensation</strong></h3> <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> <h3><strong>What We Offer</strong></h3> <ul> <li><strong>A Stake in our success </strong>A cash/equity mix that fits your needs and option to do early exercise</li> <li><strong>Health &amp; Wellness </strong>Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don’t)</li> <li><strong>Time To Recharge </strong>4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year</li> <li><strong>Support to Parents</strong>&nbsp;Up to 12 weeks of paid parental leave, regardless of your path to parenthood</li> <li><strong>Learning &amp; Development&nbsp;</str