Cognichip

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…

ACIAI-firstArtificial IntelligenceChip DesignDeep TechGenerative AISemiconductorcognichip.ai

Cognichip

ACIAI-firstArtificial IntelligenceChip DesignDeep TechGenerative AISemiconductorcognichip.ai

HQRedwood City, US

Team Size73

Open Jobs36

Total Funding$93M

Latest Fundraise3 months ago

TL;DR

Founded: 2024

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”

Join the Team

Staff AI Solution Engineer - FPGA

On-SiteRedwood City, CA, US

On-Site • Redwood City, CA, US

Job Title Staff AI Solution Engineer - FPGA

Job Summary At Cognichip, we're not just building AI; we're enabling our customers to harness the power of AI to transform their silicon design workflows. As an AI Application Engineer with an FPGA focus, you'll be the crucial link between our groundbreaking Artificial Chip Intelligence (ACI) solutions and the hardware design teams who will use them to target high-performance FPGA platforms. You'll translate complex technical concepts into practical solutions, helping teams successfully adopt our solutions and unleash their creativity on programmable logic. If you thrive on solving technical challenges and empowering others to build the future of accelerated computing, this is your stage.

Key Responsibilities

Startup jobs. A lot of them.

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Apply AI to real-world problems. Serve as the primary technical point of contact for customers, providing expert guidance and support to help them integrate Cognichip ACI® solutions into their FPGA-based design flows and hardware acceleration pipelines.

Bridge the gap. Collaborate closely with customer design teams, providing hands-on support for RTL development, optimization, and hardware troubleshooting to ensure a seamless experience when going from innovative idea to reconfigurable chips. You’ll also act as the voice of the customer, relaying critical feedback to our AI science and software teams.

Drive adoption and success. Develop and deliver technical presentations, hardware demonstrations, and training sessions that showcase the value and capabilities of ACI for the FPGA hardware and software ecosystems.

Diagnose and solve. Dive deep into customer-specific issues—analyzing design flows, log files, and user interactions - to diagnose problems, provide solutions, and help improve our products and services.

Educate and inform. Create clear, concise technical documentation, application notes, and reference designs for FPGA implementation to empower our customers and accelerate their learning curve.

Required Qualifications

Master's degree in Electrical Engineering, or a closely related field.
7 to 10 years of experience in FPGA-based RTL design, verification, and optimization, with a passion for customer-facing roles.
Proficiency in Verilog/SystemVerilog, FPGA toolchains (AMD/Altera), and scripting languages like Python.
Excellent written and verbal communication skills, with a strong ability to translate complex technical information into clear, actionable guidance.
A consultative, problem-solving mindset and a passion for helping others succeed.
Demonstrated knowledge of the full FPGA design process, from RTL to synthesis and timing closure.
Experience with machine learning or deep learning concepts is a strong advantage.

Cognichip

Cognichip

TL;DR

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Staff AI Solution Engineer - FPGA

Startup jobs. A lot of them.

DevOps Engineer

Product Designer

Backend Developer

AI Researcher

Frontend Developer

Backend Developer

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