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
Staff FPGA Design Engineer
On-SiteToronto, Ontario, CA
On-Site • Toronto, Ontario, CA
Why This Matters
At Cognichip, we’re not just building AI—we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If you thrive on pushing the envelope of the possible and translating cutting-edge ideas into production-grade systems, this is your stage.
What You'll Do
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Serve as the domain expert, embedding chip design intuition into a team creating AI chip design assistants
Architect modern EDA workflows, from spec to bitstream
Drive the development of agentic AI systems capable of authoring syntactically and semantically correct RTL, manage IP integration, and constructing processor-based designs
Create an ecosystem of libraries, tools, agents, workflows, and benchmarks to increase design velocity
Design and synthesize high-quality, complex datasets (RTL, IP, constraints, failure modes) to train models on hardware physics and logic
Define rigorous verification standards and guide the agent in generating robust UVM testbenches, assertions and coverage models to ensure generated designs are correct-by-construction
What You Bring
Masters in Computer Science, Electrical Engineering, or a closely related field
10-15 years of experience in RTL design, or a combination of design and verification
Deep expertise with AMD/Xilinx (Vivado, Vitis) and Altera/Intel (Quartus) ecosystems, including SoC and complex IP integrations
Knowledge of industry-standard communication protocols (AXI, Ethernet, PCIe, DDR5, SPI, I2C, NoC, etc)
Proficiency in SystemVerilog, Python, and TCL
Excellent written and verbal communication skills, especially to convey chip design knowledge to software engineers and AI scientists
Comfortable 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
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)
Demonstrated coursework or project experience in machine learning and/or deep learning
What It's Like Here
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 Toronto. 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.
How To Apply
Don’t meet every single requirement? Feel over-qualified? That’s okay—if you're excited about our mission, we’d still love to hear from you. We are growing fast and need a world class team of various experience levels.
