UniversalAGI, Inc.
Founding Full Stack Engineer
UniversalAGI, Inc., San Francisco, California, United States, 94199
San Francisco | Work Directly with & founding team | Report to CEO | OpenAI for Physics |
5 Days Onsite
Founding Member of Technical Staff 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 As a founding Member of Technical Staff, you'll be in the arena from day one, building the product experiences that put AI physics capabilities into the hands of engineers and customers. This is your chance to build and own the entire product stack, from intuitive simulation interfaces to backend APIs that power complex physics workloads in production.
You'll work directly with the CEO and founding team to build product features that make foundation models accessible to industrial engineers, create interfaces that visualize complex physics simulations, and design workflows that seamlessly integrate AI into existing engineering processes. You're creating new paradigms for how engineers interact with AI‑powered physics simulation tools.
What You'll Do
Build customer‑facing applications
that make complex physics simulations intuitive and accessible, creating dashboards, visualization tools, and interfaces for foundation model interactions
Design and implement robust backend APIs
that power our product features, handle simulation workflows, and integrate with our ML infrastructure and customer systems
Own the full product development cycle
from concept to production, shipping features that solve real customer problems and working directly with users to iterate based on feedback
Create data visualization and analytics tools
that help engineers understand simulation results, model performance, and physics insights in real‑time
Build fine‑tuning and customization interfaces
that let customers adapt our foundation models through intuitive UIs without needing to write code or understand ML internals
Develop integration tools and SDKs
that make it easy for customers to embed our physics AI into their existing CAE workflows, design tools, and simulation pipelines
Design real‑time collaboration features
that enable engineering teams to work together on simulations, share results, and iterate on designs
Build customer portals and admin tools
for model deployment, usage monitoring, billing and self‑service configuration
Instrument everything : Build analytics, logging and observability into every product feature to understand how customers use the product and where they struggle
Work directly with customers
on their workflows, pain points and feature requests, turning customer conversations into shipped product improvements
Move fast and ship : Take features from prototype to production in days, not months, iterating based on real customer feedback and usage data
This is a role for someone who loves building product that customers actually use, who can move between frontend polish and backend complexity with ease, and is ready to define what AI‑powered physics simulation software looks like.
Qualifications
3+ years of software engineering and ML experience
building and shipping ML‑driven products, ideally at fast‑moving startups or product‑focused companies
Solid backend foundation : Strong experience with end‑to‑end application development and complex backend systems.
API design expertise : Experience designing clean, scalable REST or GraphQL APIs that power complex applications
Strong system design abilities : Can make smart tradeoff decisions and understand performance implications
Outstanding execution velocity : Ships features rapidly, debugs efficiently and thrives in fast‑paced environments
Strong communicator : Can talk to customers, understand their workflows and translate technical capabilities into product features they'll love
Ownership mentality : Takes full responsibility for features from concept through deployment, monitoring and iteration
Bonus Qualifications
CAE/simulation software experience : Familiarity with ANSYS, COMSOL, OpenFOAM or other engineering simulation tools
Experience building products for technical users
(engineers, data scientists, researchers) who have complex workflows and high expectations
3D visualization and rendering experience : Knowledge of WebGL, Three.js or similar technologies for visualizing physics simulations
Built products integrated with ML models or AI systems , understanding how to surface AI capabilities through great UX
Experience with real‑time applications : WebSockets, real‑time collaboration features or streaming data
DevOps and deployment experience : Comfortable with Docker, Kubernetes, CI/CD pipelines and production operations
Enterprise software experience : Built B2B products with SSO, RBAC, audit logging and compliance features
Design sensibility : Strong eye for UI/UX design and can work effectively with or without a dedicated designer
Experience at high‑growth startups (Seed to Series C)
or product‑led companies where shipping velocity is critical
Open‑source contributions
to product frameworks, developer tools or visualization libraries
Cultural Fit
Technical Respect : Ability to earn respect through hands‑on technical contribution and shipped product
Intensity : Thrives in our unusually intense culture - willing to grind when needed to ship critical features
Customer Obsession : Passionate about solving real customer problems and building product people love, 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 or customers need support
Communication : Can translate complex technical concepts to customers and understand their needs deeply
Growth Mindset : Embraces the compounding returns of intelligence and continuous learning
Startup Mindset : Comfortable with ambiguity, rapid change and wearing multiple hats - you're a builder first
Work Ethic : Willing to put in extra hours when needed to hit critical milestones and ship features
Team Player : Collaborative approach with low ego and high accountability
What We Offer
Opportunity to shape the product foundation of a rapidly growing foundational AI company
Work on cutting‑edge industrial AI problems with immediate real‑world impact
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
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.
#J-18808-Ljbffr
5 Days Onsite
Founding Member of Technical Staff 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 As a founding Member of Technical Staff, you'll be in the arena from day one, building the product experiences that put AI physics capabilities into the hands of engineers and customers. This is your chance to build and own the entire product stack, from intuitive simulation interfaces to backend APIs that power complex physics workloads in production.
You'll work directly with the CEO and founding team to build product features that make foundation models accessible to industrial engineers, create interfaces that visualize complex physics simulations, and design workflows that seamlessly integrate AI into existing engineering processes. You're creating new paradigms for how engineers interact with AI‑powered physics simulation tools.
What You'll Do
Build customer‑facing applications
that make complex physics simulations intuitive and accessible, creating dashboards, visualization tools, and interfaces for foundation model interactions
Design and implement robust backend APIs
that power our product features, handle simulation workflows, and integrate with our ML infrastructure and customer systems
Own the full product development cycle
from concept to production, shipping features that solve real customer problems and working directly with users to iterate based on feedback
Create data visualization and analytics tools
that help engineers understand simulation results, model performance, and physics insights in real‑time
Build fine‑tuning and customization interfaces
that let customers adapt our foundation models through intuitive UIs without needing to write code or understand ML internals
Develop integration tools and SDKs
that make it easy for customers to embed our physics AI into their existing CAE workflows, design tools, and simulation pipelines
Design real‑time collaboration features
that enable engineering teams to work together on simulations, share results, and iterate on designs
Build customer portals and admin tools
for model deployment, usage monitoring, billing and self‑service configuration
Instrument everything : Build analytics, logging and observability into every product feature to understand how customers use the product and where they struggle
Work directly with customers
on their workflows, pain points and feature requests, turning customer conversations into shipped product improvements
Move fast and ship : Take features from prototype to production in days, not months, iterating based on real customer feedback and usage data
This is a role for someone who loves building product that customers actually use, who can move between frontend polish and backend complexity with ease, and is ready to define what AI‑powered physics simulation software looks like.
Qualifications
3+ years of software engineering and ML experience
building and shipping ML‑driven products, ideally at fast‑moving startups or product‑focused companies
Solid backend foundation : Strong experience with end‑to‑end application development and complex backend systems.
API design expertise : Experience designing clean, scalable REST or GraphQL APIs that power complex applications
Strong system design abilities : Can make smart tradeoff decisions and understand performance implications
Outstanding execution velocity : Ships features rapidly, debugs efficiently and thrives in fast‑paced environments
Strong communicator : Can talk to customers, understand their workflows and translate technical capabilities into product features they'll love
Ownership mentality : Takes full responsibility for features from concept through deployment, monitoring and iteration
Bonus Qualifications
CAE/simulation software experience : Familiarity with ANSYS, COMSOL, OpenFOAM or other engineering simulation tools
Experience building products for technical users
(engineers, data scientists, researchers) who have complex workflows and high expectations
3D visualization and rendering experience : Knowledge of WebGL, Three.js or similar technologies for visualizing physics simulations
Built products integrated with ML models or AI systems , understanding how to surface AI capabilities through great UX
Experience with real‑time applications : WebSockets, real‑time collaboration features or streaming data
DevOps and deployment experience : Comfortable with Docker, Kubernetes, CI/CD pipelines and production operations
Enterprise software experience : Built B2B products with SSO, RBAC, audit logging and compliance features
Design sensibility : Strong eye for UI/UX design and can work effectively with or without a dedicated designer
Experience at high‑growth startups (Seed to Series C)
or product‑led companies where shipping velocity is critical
Open‑source contributions
to product frameworks, developer tools or visualization libraries
Cultural Fit
Technical Respect : Ability to earn respect through hands‑on technical contribution and shipped product
Intensity : Thrives in our unusually intense culture - willing to grind when needed to ship critical features
Customer Obsession : Passionate about solving real customer problems and building product people love, 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 or customers need support
Communication : Can translate complex technical concepts to customers and understand their needs deeply
Growth Mindset : Embraces the compounding returns of intelligence and continuous learning
Startup Mindset : Comfortable with ambiguity, rapid change and wearing multiple hats - you're a builder first
Work Ethic : Willing to put in extra hours when needed to hit critical milestones and ship features
Team Player : Collaborative approach with low ego and high accountability
What We Offer
Opportunity to shape the product foundation of a rapidly growing foundational AI company
Work on cutting‑edge industrial AI problems with immediate real‑world impact
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
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.
#J-18808-Ljbffr