Hardware Engineer

Title of Role: Founding Member of Technical Staff (Hardware)Location: San Francisco (future expansion to London)Company Stage of Funding: Seed Stage ($3M raised)Office Type: OnsiteSalary: $200,000 - $500,000 (depending on experience)Company DescriptionWe are partnering with a cutting-edge security startup protecting the world's largest AI data center infrastructure. Backed by leaders from top AI labs, cybersecurity giants, and national security advisors, this company is designing FPGA-based security solutions to protect billions in AI assets globally.What You Will DoYou will design, build, and deliver FPGA/ASIC-based systems at the heart of our security product, handling unprecedented data bandwidth and ensuring tamper-proof security at scale. You'll lead customer discovery with data center partners, build production hardware, and scale solutions to secure facilities containing hundreds of thousands of GPUs.Ideal Candidate Background4+ years of experience in FPGA/ASIC engineering or electrical engineering roles.Strong record of 0-to-1 hardware design experience, especially in high-speed networking, data center hardware, or security applications.Experience at high-caliber firms such as SpaceX, Anduril, Hadrian, Anthropic, OpenAI, DeepMind, Meta, Nvidia, Intel, TSMC, or defense/intelligence organizations.Bachelor's degree in Electrical Engineering (PhD preferred from top universities).PreferredExpertise in FPGA design, HDL, Verilog, digital circuit design, and low-level systems programming.Familiarity with data center architectures, confidential computing, secure enclaves, or trusted computing.Active contributor to technical projects (portfolio, GitHub, competitions) demonstrating deep craft and engineering talent.Compensation and BenefitsSalary: $200k - $500k depending on experience and seniorityEquity: 0.5% - 2.5%Visa sponsorship: Available for exceptional candidatesHigh-impact work building security systems for the future of AI infrastructureOpportunity to work in a close-knit founding team shaping the foundation of secure AI compute globally