Normal Computing
normalcomputing.com
Actively hiring
Processors, MCUs & AI Chips
AI Chips & Accelerators
EDA Software
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$8.5M
1 round on record
Latest round
$8.5M
Venture round · Dec 2022 · 3 yr ago
Team
51-200
employees, estimated range
Hiring now
21
+2 posted in 30 days
Backers
3
Celesta, Drive Capital
The money's age
Long since its last round
45 months since the last round · and hiring
Momentum
14/100
hiring for its size, a new city
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Hacker News stories
5
best: 3 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Dec 2022 | $8.5M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | Normal Computing Corp | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Faris SbahiExecutive Officer, DirectorSEC Form D
Yui-Hong TanExecutive Officer, DirectorSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Celesta 
Drive Capital 
First Spark Ventures Investors in similar startupsfunds that back the companies most like this one
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How Normal Computing hires
Truth index
A 100/100
Median time to fill
55 days
Ghost roles
0%
Stale roles
0%
Reposted roles
0%
Normal Computing scores A on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 55 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Normal Computing is an artificial intelligence and semiconductor technology company headquartered in New York City, New York, and founded in 2022. The firm develops a full-stack platform including AI-native Electronic Design Automation software and thermodynamic Application-Specific Integrated Circuits designed to optimize AI inference and long-context reasoning. Backed by investors such as Samsung Catalyst, the company partners with major semiconductor manufacturers to deploy its co-design solutions for complex system-on-chip verification and hardware acceleration.
News
AI chips are getting too expensive-and too power-hungry. This startup just raised $50M to change that.
Part of a growing wave of startups rethinking how AI is computed, Normal Computing is betting on new architectures to move beyond GPUs.
Read more
Report
Building an Open-Source Verilog Simulator with AI: 580K Lines in 43 Days - Normal Computing
How one Normal engineer used AI agents to build a practical verification toolchain on top of CIRCT: simulation, formal verification, mutation testing, and more.
Read more
Report
Normal Computing Announces Tape-Out of World's First Thermodynamic Computing Chip - Normal Computing
Read more
Report
thermox: The First Thermodynamic Computing Simulator - Normal Computing
Fast and exact Ornstein-Uhlenbeck processes with JAX
Read more
Report
posteriors: Normal Computing's library for Uncertainty-Aware LLMs - Normal Computing
Online learning and hallucination detection are understood as frontier problems in AI and with LLMs. posteriors is a new open source Python library from Normal Computing that provides tools for uncertainty quantification and Bayesian computation using PyT
Read more
Report
Explainable Language Models: Existing and Novel Approaches - Normal Computing
We review key aspects of explainability for language models and introduce some Normal innovations.
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Report
A First Demonstration of Thermodynamic Matrix Inversion - Normal Computing
Thermodynamic computing offers a natural approach for fast, energy-efficient computations. We report on the first-ever experiment towards thermodynamic artificial intelligence: solving matrix inversion problems by allowing a system of coupled electrical o
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Report
Supersizing Transformers: Beyond RAG with Extended minds for LLMs - Normal Computing
In this blog we discuss how the transformer architecture naturally extends over external memories, and share empirical results which leverage this capability. These methods are innate (don't require fine tuning) and outperform popular retrieval augmented
Read more
Report
Tech stack
Technologies named in job postings at Normal Computing over the last 12 months, by layer, with the share of postings for each.
Technologies in use
74
Postings analysed
21
Stack modernity
75/100AI adopter
Languages
Python71%
SystemVerilog33%
C++14%
Perl10%
Frameworks & libraries
PyTorch24%
UVM19%
Transformers14%
JAX10%
Databases
PostgreSQL10%
Redis10%
Cloud & platforms
Kubernetes10%
Hugging Face5%
Linux5%
Synopsys HAPS5%
AI & ML
LLM38%
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Full Normal Computing tech stack
74 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$400k
Typical range
$150k – $400k
Open positions
20
8
Jobs
Junior
12.5%
Middle
37.5%
Senior
12.5%
Staff
12.5%
Architect
25%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $225k | $225k |
| Middle | 3 | $400k | $400k |
| Senior | 1 | $195k | $195k |
| Staff | 1 | $400k | $400k |
| Architect | 2 | $400k | $400k |
Highest paying role
Forward Deployed Engineer
$400k
Normalized to USD per year
All salaries at Normal Computing
By role, level and city, against the market · 20 jobs with pay
People
Faris Sbahi
Executive Officer, Director
Yui-Hong Tan
Executive Officer, Director
Steve Fu
Director
Aaron Sisto
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
64/100
Growing
Open positions
21
0 opened / 2 closed in 30 days
Median time-to-fill
56 days
faster than 25% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Hardware
32% ▼
AI/ML
26% ▼
Backend
11% ▲
DevOps
5% ▲
Product
5% ▲
Communications
5% ▼
Activity Timeline
New location: Palo Alto
Sep 2026
Removed Rest API from stack
Sep 2026
Added Rest API to stack
Sep 2026
Added Windows to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Reward Modeling to stack
Sep 2026
Added Agentic Workflows to stack
Sep 2026
Added RLAIF to stack
Sep 2026
Added KV Cache to stack
Sep 2026
New location: Valley
Sep 2026
Added Multi-Agent Systems to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
5
Countries
4
Busiest office
New York
Loading the map
Headquarters
Builds here
Office with open vacancies
Tap a pin for the office
New York
United States
HQ
18 open roles 16 posted in 90 days 83% engineering 10-50 est. staff $357k Avg Salary
hires for Hardware, AI/ML, Backend
London
United Kingdom
Engineering / R&D
13 open roles 11 posted in 90 days 100% engineering 10-50 est. staff $379k Avg Salary
hires for Hardware, AI/ML, Backend
Copenhagen
Denmark
Engineering / R&D
8 open roles 7 posted in 90 days 100% engineering 10-50 est. staff $369k Avg Salary
hires for AI/ML, Backend, Hardware
Zurich
Switzerland
Engineering / R&D
3 open roles 4 posted in 90 days 100% engineering 1-10 est. staff $400k Avg Salary
hires for AI/ML, Backend, Hardware
Palo Alto
United States
Engineering / R&D
3 open roles 3 posted in 90 days 33% engineering 1-10 est. staff $257k Avg Salary
hires for HR, DevOps
Earlier presence
Seoul, South Korea
Jobs
$206k – $225k per year • Hybrid • Full-Time • 1+ year exp • New York
SystemVerilog
Cursor
Claude Code
LLM
OpenAI Codex
Apply
$250k – $340k per year • Hybrid • Full-Time • New York
Python
C++
SystemVerilog
VHDL
GitLab CI
CI/CD
Docker
Chips/EDA
UVM
Xilinx Vivado
Cocotb
Synopsys HAPS
Apply
$200k – $400k per year • Hybrid • Full-Time • 8+ years exp • Palo Alto
Platform Engineering
Configuration Management
GitHub
Linux
Apply
$200k – $400k per year • In office • Full-Time • PhD • New York • London • Zurich • Copenhagen
Python
RLHF
Reinforcement Learning
JAX
AI Agents
Transformers
PyTorch
LLM
Ray
Synthetic Data
RLlib
Multi-Agent Systems
RLAIF
Reward Modeling
Apply
$200k – $400k per year • Hybrid • Full-Time • PhD • London • New York
Python
C++
SystemVerilog
Quantization
Diffusion Models
LLM
KV Cache
Apply
Apply
$200k – $400k per year • In office • Full-Time • 4+ years exp • New York
Python
Function Calling
Human-in-the-Loop
Tool Use
DevOps
Windows
Apply
$150k per year • In office • Full-Time • PhD • New York • London • Copenhagen
Python
LangGraph
LangChain
Reinforcement Learning
Function Calling
AI Agents
Transformers
PyTorch
LLM
Synthetic Data
Multi-Agent Systems
Tool Use
Machine Learning
Apply
$200k – $400k per year • Hybrid • Full-Time • 4+ years exp • New York • London • Zurich • Copenhagen
PostgreSQL
Redis
AI/ML
AI Agents
LLM
DevOps
Kubernetes
Platform Engineering
Apply
$200k – $400k per year • Hybrid • Full-Time • New York • London • Copenhagen
Reinforcement Learning
Post-training
Apply
$200k – $400k per year • Hybrid • Full-Time • New York • London
SystemVerilog
CVA6
Apply
$200k – $400k per year • Hybrid • Full-Time • New York • London • Zurich
Python
HPC
Chips/EDA
Synopsys PrimeTime
Synopsys IC Compiler II
Cadence Pegasus
Apply
Financials
Total raised
$8.5M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2022 | $8.5M | Details |