Cognichip is an AI-first company revolutionizing semiconductor design with its Artificial Chip Intelligence (ACI)® platform. ACI® is the world's first physics-informed foundation AI model tailored…
Cognichip is an AI-first company revolutionizing semiconductor design with its Artificial Chip Intelligence (ACI)® platform. ACI® is the world's first physics-informed foundation AI model tailored…
Mission: Use AI (ACI®) to radically speed and reduce effort in chip design
Total disclosed funding: $93M
Recent round: $60M Series A led by Seligman Ventures (Apr 1, 2026)
Headcount (reported): 73
Company Overview
Problem Domain
Semiconductor chip design automation and optimization using generative and physics-informed AI.
Founded
2024
Industry
DeepTech
Tech Stack
Cloudflare
CDN
Google Tag Manager
Google Fonts
SSL/HSTS
Mobile compatible
Funding Track Record
Seed- 2025-05-15
$33M
Emergence from stealth with $33M seed
Series A- 2026-04-01
$60M
Participation from Lip-Bu Tan; Umesh Padval (Seligman) and Lip-Bu Tan join board
Investor Signal
“Includes venture firms with domain-focused deep-tech investors and participation from industry executive Lip-Bu Tan”
Founders
What we do
Join the Team
Silicon Engineer
On-SiteRedwood City, CA, US
On-Site • Redwood City, CA, US
Role Description
At Cognichip, we’re not just building Artificial Intelligence - we’re redefining what’s
possible at the nexus of silicon design and machine learning. As a Silicon Engineer, you
will be the hands-on builder, fusing chip design expertise with ML to create the
foundational blocks of our autonomous design flow.
In this role, you won’t just design chips, you will create the libraries, IP and benchmarks
that teach our AI how to design chips. You will work alongside a cross-functional team
of world-class engineers and researchers to translate hardware logic into artificial chip
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AI Researcher
Part-timeBerlin, DE
Part-time • Berlin, DE
DevOps Engineer
Full-timeCambridge, GB
Full-time • Cambridge, GB
Frontend Developer
Part-timeBerlin, DE
Part-time • Berlin, DE
AI Researcher
Part-timeRotterdam, NL
Part-time • Rotterdam, NL
Software Engineer
ContractLondon, GB
Contract • London, GB
Machine Learning Engineer
Part-timeTel Aviv
Part-time • Tel Aviv
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intelligence.
What You’ll Do
● Encode chip-design expertise (RTL/DV best practices, common microarchitectural patterns, and known failure modes) into reusable, agent- consumable knowledge bases and playbooks
● Define how and when agents invoke EDA tools (simulation, lint, CDC, synthesis, STA), including result interpretation and chaining tools into reliable end-to-end design and verification flows
● Design and implement end-to-end agent workflows for chip design, verification, debugging, and iterative refinement using structured, hierarchical process graphs
● Decompose complex silicon design and verification tasks into clear, executable agent steps with well-defined inputs, outputs, and success criteria
● Develop high-quality prompts for each stage of the hardware lifecycle (specification, microarchitecture, RTL implementation, verification, and debug)
What You Bring
● Bachelor’s or Masters in Computer Science, Computer or Electrical Engineering, or a closely related field
● Strong academic record and relevant coursework in digital logic design, computer architecture, and embedded systems
● Hands-on exposure to at least one hardware description language (SystemVerilog, Verilog or VHDL)
● Proficiency in Python for design, automation and data analysis
● Excellent written and verbal communication skills, especially to convey chip design knowledge to software engineers and AI scientists
● Strong curiosity, proactive approach to learning, and comfort working in a dynamic, research-heavy AI-oriented startup environment
Bonus Points
The following items are not required but are great bonuses:
● Personal projects showcasing innovation, creativity, and continuous learning
● Demonstrated coursework or project experience in machine learning and/or deep learning
● Knowledge of open-source tools and contribution practices (Verilator, CocoTB, Yosys, OpenSTA, etc)
● Experience with multiple areas of chip flow (RTL design, validation, synthesis, physical design, etc)
We’re a fast-moving AI startup with a collaborative, high-trust culture. You’ll work with top-tier engineers, scientists, and builders—solving hard problems that sit at the intersection of cloud computing, AI, and chip design. We value technical excellence, ownership, and the freedom to experiment. If you’re excited to build the future of engineering, you’ll feel right at home.
Logistics
This position is available in Redwood (HQ). We believe a mindmeld between engineers and scientists leads to our professional growth and to great products; we have a hybrid schedule with four days in office, one day remote. Note that we use AI during the recruitment process.
