AI Product Engineer
San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 5 Days Onsite
AI Product Engineer
Location: Onsite in San Francisco
Compensation: Competitive Salary + Equity
Who We Are
UniversalAGI is building OpenAI for Physics. AI startup based in San Francisco and 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). We're building foundation AI models for physics that enable end-to-end industrial automation from initial design through optimization, validation, and production. We're building a high-velocity team of relentless researchers and engineers that will define the next generation of AI for industrial engineering. If you're passionate about AI, physics, or the future of industrial innovation, we want to hear from you.
About the Role
UniversalAGI is hiring an AI Product Engineer to own our customer facing product across the entire stack. In this role, you will build and own the end-to-end platform that engineers use to train and host physics models. This includes managing everything from data generation and storage to creating reusable templates and building a delightful user interface.
You’ll work closely with the CEO and founding team to turn research into repeatable, scalable, reliable systems - internally and in customer infrastructure. This is a “ship outcomes” role: your work directly determines how fast we can iterate, how reproducible our results are, and how reliably we deliver in production.
What You’ll Do
Ship End-to-End: Own and ship features across the full stack, including frontend, backend, databases, cloud services, APIs, and the UI
Enable Physics Workflows: Build seamless capabilities that take engineering customers from raw data input to a fully hosted, functioning surrogate model
Design Core Abstractions: Build clean, reusable templates so power users can move fast, while ensuring new users can get started in minutes
Iterate on Feedback: Collect user feedback, iterate rapidly, and maintain strict product reliability and backwards compatibility as we scale our customer base
Collaborate Globally: Partner hand-in-hand with the founding team and engineering leadership to define product scope and architecture
Qualifications
End-to-End Production Ownership: Proven track record of shipping customer-facing products, with deep ownership over frontend, backend, and database layers
Strong SWE Fundamentals: Excellent intuition for clean componentization, organized code architectures, user experience, and visual design
Stack Fluency: Deep technical comfort with Python on the backend, alongside React, TypeScript, and Next.js on the frontend. Comfortable navigating databases and cloud APIs. PyTorch is not required
Product Instinct: Ability to hold the user journey clearly in your head while evaluating complex technical tradeoffs
Bonus Qualifications
AI/ML Integration: Hands-on experience integrating AI components into customer products (e.g., LLMs, agents, or ML-backed product features)
Domain Context: Prior experience or background with 3D applications, CAD, physics simulations, or engineering tooling domains
Startup DNA: Prior early-stage startup experience (0 to 1 product development)
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 publishing papers
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 model decisions 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
Bias for Action: Ships experiments fast, learns from failures, and iterates quickly
What We Offer
Opportunity to define the future of physics AI from the ground up
Work on cutting-edge problems at the intersection of deep learning and physics simulation
Direct collaboration with the founder & CEO and ability to influence company strategy
Competitive compensation with significant equity upside
In-person first culture - 5 days a week in office with a team that values face-to-face collaboration
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 train the models that will revolutionize physics simulation, push the boundaries of what AI can learn, and deliver real impact, UniversalAGI is the place for you.