Software Engineer

Software Engineer – High Performance Systems / ML InfrastructureLocation: Mountain View, CA (Hybrid – 3 days onsite)A well-funded, high-growth deep tech company is building next-generation compute infrastructure to support large-scale machine learning workloads.This is a rare opportunity to work across the full stack — from hardware interaction through to system-level performance — in a team focused on solving some of the hardest problems in compute.What you'll be doingBuild and maintain functional and performance models of custom hardwareDevelop tools to support debugging, validation, and performance analysisWork closely with architecture, compiler, runtime, and validation teamsContribute to system and architectural decisionsIdentify and implement performance improvements across the stackWhat they're looking forStrong software engineering fundamentals with a focus on performance and maintainabilitySolid understanding of computer architectureExperience working in low-level or systems environmentsAbility to work cross-functionally with hardware and software teamsNice to have:Rust experienceExperience with simulators or hardware modelingExposure to ML infrastructure or accelerator architecturesFamiliarity with performance optimization and benchmarkingWhy this role stands outYou'll be working on real, hard engineering problems at the intersection of hardware and softwareThe team is small, highly technical, and moves quicklyHigh level of ownership and impact on core system designStrong compensation with flexibility between cash and equityCompensationBroad range depending on experience:$220k – $400k base + equityFlexible cash vs equity structure