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.
Open positions
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,…
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,…
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.
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.
Thermodynamic Hardware Resident
A hands-on research residency embedded with the team building thermodynamic computing hardware that exploits analog dynamics and noise for AI inference, involving simulation, characterization, numerical method design, and co-authoring a paper.
Hardware Engineer, PCB
Designs and develops analog and memory-based computing-in-memory (CIM) chips for AI inference acceleration, owning the full flow from architecture to post-silicon validation.
AI 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,…