Hardware Engineer
Normal Computing
Hardware Engineer
Normal Computing
Develops probabilistic AI for enterprise applications
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), and London.
Hybrid: 3 days a week in the office, in Mountain View, New York or London.
As an Analog Hardware Engineer, you will build the core mixed-signal technology powering our unconventional computing architecture.
You will design unique analog circuits, creating library cells as well as macros, to support a unique computational architecture. Working alongside silicon architecture, digital, and layout teams, you will own the end-to-end analog development from clean-sheet circuit design through parasitic extraction and silicon bring-up to unlock unprecedented throughput-per-watt.
Analog design flow methodology: establish the analog design flow methodology, including EDA tool acquisition
Analog design development: analyze and develop analog circuits (AMS), developing specifications, creating schematic-level design, circuit simulation and verification, integration with digital design and simulation (mixed-signal simulation), timing, power, and design rule closure, and tapeout.
Acquisition: Direct specification and acquisition of analog IP for use in Normal Silicon
Direct EDA tool development: assist in direction of internal EDA tool development to support analog designs, for both cell and library creation as well as circuits
Evaluate designs: Evaluation of custom memory designs, including SRAM, DRAM, and CIM architectures
Developed analog IP from spec to GDSII in modern technologies, taped out and brought up.
Worked on analog cell library development
Fluent in the Cadence flow: Virtuoso, Spectre, Assembler, Extraction, Layout, HSMC, Characterization
Deep understanding of noise and variation and their impacts on silicon performance and reliability
Lead, taped out, brought up AMS silicon
Experienced and comfortable in a chip measurement environment for debug and characterization
Have used AI and/or scripting languages (i.e. Python, Perl) to automate design flows and data post-processing
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice.
Develops probabilistic AI for enterprise applications
Normal Computing builds AI systems for large, mission-critical workloads and provides generative AI tailored for enterprises. It uses Probabilistic AI, which uses statistical analysis to predict outcomes, giving firms more control over reliability, adaptability, and auditability. The company differentiates itself through leadership from Google Brain, Palantir, and X, and by focusing on risk-aware, enterprise-grade AI for industries with strict risk constraints. Its goal is to help Fortune 500 companies and government agencies deploy AI in critical operations with strong reliability, clear audit trails, and manageable risk.
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