Director of Software Engineering | Cognichip · Teeming.ai
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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…Show more
ACI AI-first Artificial Intelligence Chip Design Deep Tech Generative AI Semiconductor 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…Show more
ACI AI-first Artificial Intelligence Chip Design Deep Tech Generative AI Semiconductor Latest Fundraise 3 months ago
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
Problem Domain Semiconductor chip design automation and optimization using generative and physics-informed AI.
Tech Stack Cloudflare
CDN
Google Tag Manager
Google Fonts
SSL/HSTS
Mobile compatible
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”
Director of Software Engineering On-Site Toronto, Ontario, CA
On-Site • Toronto, Ontario, CA Job Summary:
We are seeking a software engineering leader (Director or an experienced Sr. Manager ready to
grow into this role) to join our Canada team. This is a high-impact opportunity to help shape the
technical and product direction of a fast-growing, AI-driven SaaS company that is transforming
semiconductor design.
In this role, you’ll lead engineering teams at the heart of Cognichip’s product delivery. You will
work closely with Product Management, business stakeholders, and AI/chip engineering leaders
to ensure that Cognichip’s technology not only scales but also delivers clear value to customers.
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Part-time • Munich, DE You’ll be responsible for technical oversight, delivery ownership, and culture building. While you
won’t be coding daily, you’ll remain close enough to the stack to mentor engineers, guide
architecture, and participate meaningfully in design discussions. This role requires a leader who
thrives at the intersection of engineering execution and product/business alignment.
Lead & Scale Engineering Teams
● Build and grow high-performing engineering teams across multiple disciplines
(frontend/IDE, backend/platform, ML/AI, devtools).
● Establish and reinforce a strong, collaborative, high-performance culture.
● Recruit, develop, and retain top engineering talent; mentor technical leads and future
● Maintain technical credibility in modern SaaS, cloud-native, and AI/ML stacks.
● Participate in design and architecture reviews to ensure sound technical decision-
● Champion best practices for testing, modularity, documentation, and performance.
Drive Product & Business Alignment
● Partner closely with Product Management and business teams to shape roadmaps and
ensure engineering delivery maps to customer and market needs.
● Translate product strategy into executable engineering plans with measurable outcomes.
● Balance technical innovation with business priorities and time-to-market pressures.
● Drive delivery across value streams: from roadmap planning and design through
execution, launch, and adoption.
● Ensure scalability, reliability, and security are built into the product from day one.
● Foster engineering excellence and accountability across teams.
Bridge Technical & Cross-Functional Teams
● Collaborate with AI scientists, chip engineers, and product leaders to deliver cohesive
● Act as a key communication link between engineering execution and business strategy.
● Define engineering rituals, metrics, and collaboration practices that improve alignment
● Proven leadership experience (Sr. Manager, Director, or equivalent) leading teams of
15+ cross-disciplinary engineers, with demonstrated ability to scale organizations.
● 10+ years of professional experience, including progression from hands-on engineer →
tech lead → organizational leadership.
● Technical awareness and credibility in modern software stacks (cloud-native, AI/ML,
SaaS), even if not coding daily.
● Strong track record in end-to-end product delivery, including aligning engineering with
product and business strategy.
● Excellent people leadership skills: hiring, mentoring, and developing engineers and
● Strong collaboration and communication skills; effective working across engineering,
product, and business stakeholders.
● Prior experience in enterprise SaaS, developer tools, or AI/ML infrastructure is strongly
