1,795,710open jobs
103,651companies
269,196added this week
Browse all
Salary
≈ $147k – $310k per year (Estimated)
Location
In office (San Francisco)
Visa
H-1B filings in 12 months: 3 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 15, 2026.

Overview
Company
Impact
Profile match
The platform for engineering teams building and operating Physics AI at scale. Predict aerodynamic performance, structural loads, and thermal behavior in seconds.

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

UniversalAGI is hiring a Product Engineer to own and extend our customer-facing product across the stack. You will join a team of 25 researchers, engineers, and domain experts supporting early deployments in computational fluid dynamics and oil and gas reservoir engineering.

You will build the product experience through which engineers import CAD and 3D geometry, simulation and test data, and operating conditions; configure model workflows; monitor simulations and model jobs; compare predictions against trusted benchmarks; and deploy or export results.

This role owns the customer-facing product layer, including user workflows, interfaces, APIs, data models, visualization, and integrations. You will partner with platform engineering on the underlying ML execution infrastructure and with researchers who own model architectures and scientific methods.

You’ll work directly with the CEO, founding team, and customers to turn advanced research into reliable, repeatable engineering workflows.

What You'll Do

  • Own Customer Workflows: Build the end-to-end product experience from geometry and engineering data through model configuration, benchmarked predictions, and deployed or exported results.

  • Ship Across the Stack: Develop production features using React, TypeScript, Next.js, Python, databases, cloud services, and APIs.

  • Design Clear Product Abstractions: Create intuitive interfaces, workflow templates, and APIs for simulations, datasets, model jobs, evaluations, uncertainty, and engineering outputs.

  • Work Directly with Customers: Understand real engineering processes, identify recurring needs, and turn customer-specific lessons into scalable product capabilities.

  • Own Production Quality: Improve observability, performance, versioning, migrations, compatibility, and incident diagnosis across the customer-facing product.

  • Shape Product and Architecture: Partner with the founding team, Research, and Platform Engineering to define priorities, interfaces, and technical direction.

Qualifications

  • End-to-End Product Engineering: Experience shipping and operating customer-facing products across React/TypeScript frontends, Python backends, APIs, and data systems.

  • Product Judgment: Ability to turn complex technical workflows into clear, effective experiences for expert users.

  • Production Ownership: Comfortable designing maintainable systems, debugging production issues, and managing reliability, rollouts, and migrations.

  • Customer Focus: Able to work directly with technical users, make sound tradeoffs, and own outcomes in an early-stage environment.

Bonus Qualifications

  • Experience building ML-backed products, developer tools, or complex B2B software.

  • Experience with 3D or scientific visualization, WebGL, CAD, or CAE.

  • Experience with enterprise authentication or customer-controlled deployments.

  • Early-stage or zero-to-one product experience.

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

  • Opportunity to shape the technical 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

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,795,710 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Francisco
$220k – $330k per year • In office • Full-Time • 15+ years exp • Bachelor's Degree • San Diego
AI/ML
AI Agents
Agentic Workflows
Apply
$220k – $300k per year • Hybrid • Full-Time • 7+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databases
PostgreSQL
Frontend
GraphQL
Next.js
React.js
Apply
$220k – $300k per year • Hybrid • Full-Time • 7+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databases
PostgreSQL
Frontend
GraphQL
Next.js
React.js
Apply
$170k – $205k per year • In office • Full-Time • 6+ years exp • United States
Java
AI/ML
Machine Learning
Apply
$218k – $328k per year • Remote (United States) • Full-Time • 15+ years exp • Bachelor's Degree • United States
C#
Databases
Apache Kafka
AI/ML
Copilot
Cursor
Claude
ChatGPT
LLM
OpenAI
Anthropic
DevOps
Docker
Kubernetes
Apply
Data Scientist 2 days ago
≈ $42k – $79k per year (Estimated) • In office • Full-Time • 4+ years exp • Master's Degree • Johannesburg
Python
SQL
SAS
Databases
Databricks
AI/ML
Machine Learning
Apply
≈ $18k – $38k per year (Estimated) • In office • Full-Time • 6+ years exp • Chennai
Python
PowerShell
Bash
AI/ML
Copilot
Cursor
Claude
DevOps
Terraform
Ansible
GitHub Actions
OpenTelemetry
OpenTofu
Packer
Azure
Windows Server
ArgoCD
Jenkins
AWS
Docker
Kubernetes
Grafana
TeamCity
Windows
Cybersecurity
Wiz
Sumo Logic
Apply
PHP Developer 2 days ago
$30k – $37k per year • In office • Full-Time • 4+ years exp • Centurion
Python
JavaScript
PHP
Databases
MySQL
Frontend
Bootstrap
DevOps
Rest API
SOAP
Apply
Python Developer 2 days ago
$80k – $88k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Pretoria
Python
JavaScript
Python
Django
AI/ML
Pandas
NumPy
DevOps
CI/CD
Git
Apply
≈ $49k – $104k per year (Estimated) • In office • Full-Time • 5+ years exp • Johannesburg
Python
PowerShell
DevOps
VMWare
Azure
Hyper-V
Apply
Head of Revenue 12 days ago
≈ $172k – $344k per year (Estimated) • In office • Full-Time • 7+ years exp • San Francisco
Databases
Databricks
Robotics
Digital Twin
Apply
≈ $124k – $287k per year (Estimated) • In office • Full-Time • 8+ years exp • PhD • San Francisco
Databases
Databricks
AI/ML
Machine Learning
Apply
In office • Full-Time • 10+ years exp • Master's Degree • United Arab Emirates
Databases
Databricks
Apply
ML Engineer 16 days ago
≈ $161k – $353k per year (Estimated) • In office • Full-Time • PhD • San Francisco
Databases
Databricks
AI/ML
Fine-tuning
Computer Vision
Apply
≈ $165k – $361k per year (Estimated) • In office • Full-Time • PhD • San Francisco
Python
Databases
Databricks
AI/ML
Embeddings
Reinforcement Learning
JAX
Diffusion Models
PyTorch
Apply
$148k – $204k per year • Hybrid • 6+ years exp • Bellevue • Chicago • Toronto • San Francisco
Python
Go
Java
AI/ML
LLM
LLM Guardrails
Agentic Workflows
Machine Learning
DevOps
Rest API
GitHub Actions
GitLab CI
CI/CD
Jenkins
Git
Shift-Left
Cybersecurity
Okta
Shift-Left Security
Apply
≈ $134k – $248k per year (Estimated) • Equity • Remote (United States) • Full-Time • 10+ years exp • Master's Degree • San Francisco
AI/ML
TensorFlow
Triton
TorchServe
Feature Store
Machine Learning
DevOps
GCP
Platform Engineering
Apply
$131k – $145k per year • Equity • Hybrid • 4+ years exp • Bachelor's Degree • San Francisco
SQL
Apply
≈ $146k – $277k per year (Estimated) • In office • 5+ years exp • Houston • New York • San Francisco • Seattle
Python
AI/ML
Edge AI
DevOps
Prometheus
Grafana
Linux
BGP
OSPF
Apply
$86k – $107k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco • Washington
Cybersecurity
GDPR
Marketing
Salesforce
LinkedIn
SpaceTech
QGIS
Apply
See all jobs
This is one of many
1,795,710 more open roles from verified company boards, updated every day.