NormalComputing
Building probabilistic AI and thermodynamic computing for semiconductor design.
Company facts
- Founded
- 2022
- Employees
- 50
- Headquarters
- United States
- CEO
- Faris Sbahi
- Type
- Private
- Funding
- Series B · $50M · 2026
About
We are on a mission to make AI universally scalable and useful. At Normal Computing, we're rewriting the foundations of AI to push the frontier of reasoning and reliability in the real world. We were founded in 2022 by a team of engineers and scientists from Google Brain, Google X, and Palantir who were pioneers in developing industry-leading Physics + ML tools for the next generation of artificial intelligence. Our core belief is that the true potential of AI can only be unlocked when it can reliably and safely interact with and reason about the physical world. This is why we are developing full-stack solutions, from innovative hardware and physics-based approaches to advanced probabilistic software infrastructure and algorithms. This allows us to create AI that not only performs complex tasks but also understands its own limitations, a critical factor for adoption in high-stakes enterprise environments. Our work tackles significant challenges in sectors like semiconductor manufacturing, supply chain management, banking, and government agencies, where risk has traditionally been a major barrier to AI adoption. We are building AI systems that can design and verify hardware logic from specifications alone, a crucial step in overcoming the silicon complexity crisis. Furthermore, we are pioneering 'thermodynamic computing,' a novel approach that widens the conventional design space and enables custom silicon to operate at the very energy limits of artificial reasoning. We've already developed the world's first thermodynamic computer, a breakthrough that promises to make AI more efficient and capable. We are a diverse and lean team of some of the world's best engineers, scientists, and operators, with a presence in New York City, San Francisco, London, and Copenhagen. We foster a culture of individual ownership and deep partnership, collaborating closely with the largest semiconductor design and manufacturing institutions to deliver our software and hardware. We are backed by significant seed capital from prominent investors who share our vision of securing silicon supremacy and providing a 1000x increase in intelligence per unit.
Engineering Manager, Compiler & Runtime
People-leadership role building and managing the compiler, runtime, and kernel team at Normal Computing, whose in-memory hardware runs large-model inference. The team takes PyTorch models to pre-silicon hardware using simulators and FPGA prototypes, partnering with a compiler architect and the hardware team.
Compiler Frontend Engineer
Normal Computing | Build with Us 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,…
Firmware Engineer
Normal Computing | Build with Us 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,…
Hardware Engineer, DFT
Normal Computing | Build with Us 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,…
Memory Architect
Normal Computing | Build with Us 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,…
Physical Design Lead
Leads Normal Computing's physical design team in Silicon Valley, owning the end-to-end backend ASIC flow from synthesis, floorplanning, and place-and-route through STA timing closure, DRC/LVS signoff, and GDSII tapeout, while hiring, planning tapeout schedules, and collaborating with RTL/architecture teams using tools like Innovus, PrimeTime, and Calibre.
Foundry Sourcing & Supplier Manager
Normal Computing | Build with Us 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,…
Compiler Backend Engineer
Builds the custom compiler backend for Normal Computing's in-memory AI hardware, mapping LLM inference onto non-CPU silicon through code generation, scheduling, memory planning, and fusion — validated against simulators, FPGA prototypes, and eventually silicon. Fluent in Python with C/C++/Rust familiarity.
People Partner
Normal Computing | Build with Us 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,…
Recruiting Coordinator
Coordinates hiring logistics for a deep-tech startup, scheduling interviews globally and managing the applicant tracking system to ensure smooth candidate experience.
Hardware Engineer, Physical Design
Hardware Engineer specializing in RTL/PD, optimizing designs from microarchitecture to tapeout for AI-native ASICs at Normal Computing, a deep-tech semiconductor startup.
ASIC Architect
Design custom silicon and system microarchitecture for an unconventional AI compute platform, translating transformer and diffusion workloads into energy-efficient mixed-signal compute tiles and memory hierarchies.
Custom RAM Designer
Analog design engineer building custom analog/mixed-signal library cells and macros (especially DRAM and other memory circuits) for Normal Computing's unconventional compute-in-silicon architecture. Owns the end-to-end analog flow — clean-sheet circuit design, parasitic extraction, and silicon bring-up — using Cadence tools in Mountain View.
FPGA Platform Lead
Design and verify digital logic for novel AI hardware using SystemVerilog, collaborating across RTL, verification, and physical design to tape out custom ASICs.