--- title: 'Designer at UniversalAGI' canonical: 'https://feeny.ai/job/designer-universalagi-san-francisco-m4n0ygz8ps77' type: 'job' last_seen: '2026-09-08' --- # Designer at UniversalAGI - **Company:** UniversalAGI - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/universalagi/47a8512a-6257-4c2b-bfb0-60f85a973c4f ## Job description 📍 San Francisco | 🏢 5 Days Onsite Location: Onsite in San Francisco Compensation: Competitive Salary + Equity ## Who We Are Engineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world. We are a team of 25 researchers and engineers in San Francisco backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Prith Banerjee (ANSYS CTO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico). ## About the Role As a founding Brand & Product Designer, you'll define how UniversalAGI looks, feels, and shows up everywhere it matters: in front of customers, inside our product, and in the visual story we tell. This is a builder's seat. You'll turn a same-day deck into something that lands, then turn around and shape how our product feels in someone's hands. You'll sit with the founding team, turning fast-moving and technical ideas into work that's clear, sharp, and genuinely exciting. ## What You'll Do - Own the design of every presentation and deck we put in front of people, anchored on customer-facing materials and extending to investor conversations, marketing, and other moments that matter. - Turn fast-moving and technical content into something clear, credible, and visually sharp. - Build and maintain a flexible s system so decks stay consistent, on brand, and fast to produce as new needs come up. - Contribute to product design on live product surfaces, partnering closely with our technical team, the founding team, and GTM, especially where product work and customer-facing materials overlap. - Execute brand and marketing collateral (social, one-pagers, internal communications, and more) using and extending our existing design system. - Help define and evolve our visual identity and brand direction as the company scales, not just execute against existing guidelines, but help set them. ## Qualifications - Based in the San Francisco Bay Area, or willing to relocate; this is an in-person, onsite role. - Professional design experience spanning presentation/deck design, product design, and brand or visual identity work. - A portfolio that leads with excellent presentation and deck design: work that had to persuade someone. - Demonstrated brand or identity design experience: you've shaped or evolved a brand system, not just applied one. - Working product design skills and able to help shape a 0-to-1 and 1-to-n product, including how we make dense, technical output feel clear and usable. - A high craft bar: meticulous attention to typography, layout, and visual polish under real deadlines. - Comfortable with ambiguity and speed; you'll often be the only designer in the room. Bonus Qualifications - Experience designing for an AI, deep tech, or highly technical audience. - Experience at a high-growth startup or a design-forward consumer/enterprise tech company. - Motion, illustration, or video skills that add polish to decks and product storytelling. - Experience building or maintaining a company-wide design system from scratch. Cultural Fit - Technical Respect: Ability to earn respect through hands-on technical contribution - Intensity: Thrives in our unusually intense culture - willing to grind when needed - Customer Obsession: Passionate about solving real customer problems, not just cool tech - Deep Work: Values long, uninterrupted periods of focused work over meetings - High Availability: Ready to be deeply involved whenever critical issues arise - Communication: Can translate complex technical concepts to customers and team - Growth Mindset: Embraces the compounding returns of intelligence and continuous learning - Startup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats - Work Ethic: Willing to put in the extra hours when needed to hit critical milestones - Team Player: Collaborative approach with low ego and high accountability ## What We Offer - In-person first culture - 5 days a week in office with a team that values face-to-face collaboration. - Opportunity to shape the visual identity and design foundation of a rapidly growing foundational AI company. - Work on high-visibility design problems, from customer storytelling to product, with immediate real-world impact. - Direct collaboration with the founder & CEO and ability to influence company strategy - Competitive compensation with significant equity upside. - Access to world-class investors and advisors in the AI space. ## Benefits We provide great benefits, including: - Competitive compensation and equity. - Competitive health, dental, vision benefits paid by the company. - 401(k) plan offering. - Flexible vacation. - Team Building & Fun Activities. - Great scope, ownership and impact. - AI tools stipend. - Monthly commute stipend. - Monthly wellness / fitness stipend. - Daily office lunch & dinner covered by the company. - Immigration support. ## How We’re Different “The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly." - Teddy Roosevelt At our core, we believe in being “in the arena.” We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful. If you're ready to join the future of physics simulation, push creative boundaries, and deliver impact, UniversalAGI is the place for you. ## About UniversalAGI ## Company Overview - **One-liner**: UniversalAGI builds foundation models that automate physical systems engineering, enabling engineers to run AI-powered simulations in seconds instead of weeks. - **Entity Type**: Private (Seed stage – raised a Private Equity round in July 2025 from a single investor) - **Headquarters**: San Francisco, California, United States - **Founded**: 2025 - **Founders**: Ameer Haj Ali (Founder & CEO), Cole A. Lindemann (Founding BizOps) ## Core Business - **Primary industries**: AI/ML for engineering simulation (aerospace, automotive, energy, defense, biotech/pharma, industrial manufacturing, maritime) - **Target customers**: Engineering teams at enterprises designing physical products (B2B, Enterprise) - **Mission**: “We exist so that engineers can build a hundred-year future in this decade” – automate the entire product lifecycle (design, optimization, validation, production) using large physics models. ## Products & Services - **UniversalAGI Simulation Platform**: An AI-native simulation engine that takes CAD input and delivers simulation results in ~10 seconds, eliminating traditional weeks-long meshing, HPC queuing, and post-processing workflows. The platform covers the full engineering lifecycle and supports industries from aerospace to semiconductors. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding – $X (amount undisclosed) raised in a Private Equity round on 2025-07-01 (1 investor) - **Notable Investors/Partners**: Backers include Elad Gil (serial entrepreneur/investor), Eric Schmidt (former CEO of Google), Professor Ion Stoica (founder of Databricks, Anyscale), and Professor David Patterson (Turing Award winner). No formal partners disclosed yet. - **Growth Signals**: Very early stage – 10 employees as of mid-2025; LinkedIn followers grew 1259% year-over-year; monthly traffic to website increased 8.1%; actively hiring for 6+ roles (ML engineers, product engineers, recruiters). ## Competitive Advantages - **Speed**: Full simulation in seconds vs. weeks with traditional CAE tools (Ansys, Siemens, etc.) - **AI-native approach**: No meshing, no HPC setup – one call from CAD to insight - **Multidisciplinary team**: Combines AI researchers, infrastructure engineers, physicists, mechanical engineers, and simulation experts - **Backing from legendary technologists**: Elad Gil, Eric Schmidt, Ion Stoica, David Patterson lend credibility and network ## Strategic Focus - **Current priorities**: Building and scaling the foundation physics model; hiring top-tier ML and engineering talent; onboarding early enterprise customers in aerospace, automotive, and energy; iterating on product-market fit in a nascent category (“large physics models”). ## Why Work Here - **Culture highlights**: Described as a “relentless” multidisciplinary team pioneering ML in physical engineering; flat structure with direct access to the CEO and founding team. - **Remote/hybrid/office policy**: In-office (San Francisco, CA). All roles are on-site. - **Notable perks**: Early-stage equity, chance to shape the product and company from the ground up, work on the frontier of AI + physics with world-class advisors. - **Engineering culture**: Strong emphasis on ownership, shipping end-to-end, and collaborating across AI research, infrastructure, and customer solutions. Roles like “AI Product Engineer” and “ML Infrastructure Engineer” involve building the platform directly with the CEO. ## Sources 1. [universalagi.com](https://www.universalagi.com/) 2. [universalagi.com/company](https://www.universalagi.com/company) 3. [linkedin.com/company/universalagi](https://www.linkedin.com/company/universalagi) 4. [builtin.com/company/universalagi](https://builtin.com/company/universalagi) 5. 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