Founding CAE Cloud Infrastructure Engineer

📍 San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 🏢 5 Days Onsite

Location: Onsite in San Francisco

Compensation: Competitive Salary + Equity

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.

As a founding CAE Cloud Infrastructure Engineer, you'll be in the arena from day one, building the bridge between cutting-edge AI and the real-world CAE infrastructure that powers industrial engineering. This is your chance to take your deep understanding of how simulation software actually runs in enterprise environments and use it to make our AI models integrate seamlessly into existing workflows.

You'll work directly with the CEO and founding team to build infrastructure that doesn't disrupt how engineers work today, it enhances it. You understand the reality of enterprise CAE: the HPC clusters, the job schedulers, the file systems, the security requirements, the legacy software integrations. You're building the infrastructure that makes AI for physics feel native to the CAE ecosystem, not foreign to it.

• Design and build cloud infrastructure that mirrors and integrates with traditional CAE environments, supporting seamless workflows between our AI models and existing simulation tools (Ansys, OpenFOAM, STAR-CCM+, Abaqus, etc.)

• Architect deployment solutions for enterprise CAE environments, cloud/on-premise HPC clusters, hybrid cloud setups, and air-gapped systems with strict security requirements

• Build integration layers that connect our AI models with existing CAE software, job schedulers (SLURM, PBS, LSF), data management systems, and PLM tools

• Work directly with customers to understand their CAE infrastructure, pain points, and integration requirements, then build solutions that actually work in their environment

• Optimize for CAE workloads: Design storage, compute, and networking infrastructure that can handle massive simulation files, parallel processing, and the unique I/O patterns of CFD and FEA

• Implement security and compliance frameworks that meet enterprise IT requirements, including authentication, authorization, data encryption, and audit logging

• Build automation and orchestration tools that let customers deploy, configure, and manage our infrastructure alongside their existing CAE stack

• Create monitoring and observability systems tailored to CAE workflows, tracking simulation jobs, resource utilization, and model performance

• Move fast and ship: Take infrastructure from prototype to production deployment in customer environments in weeks, iterating based on real integration challenges

This is a role for someone who's lived in the CAE world, who knows how simulation software actually runs in production, and is ready to solve the hardest infrastructure problems at the intersection of AI and traditional engineering tools.

• 3+ years of hands-on experience building or managing cloud infrastructure for CAE, HPC, or simulation software in enterprise environments

• Deep understanding of CAE software ecosystems: Experience with simulation tools (Ansys, OpenFOAM, STAR-CCM+, Abaqus, LS-DYNA, etc.) and how they're deployed, licensed, and integrated

• Strong foundation in HPC infrastructure: Job schedulers (SLURM, PBS, LSF), parallel file systems (Lustre, GPFS), MPI, and high-performance networking

• Cloud platform expertise (AWS, GCP, Azure) with experience building hybrid cloud or cloud-native HPC solutions

• Expert-level skills in infrastructure-as-code (Terraform, Ansible, Kubernetes, Docker) and automation tools

• Understanding of enterprise IT requirements: Security, compliance, authentication systems (LDAP, Active Directory), and working with IT teams

• Strong communicator capable of bridging customers, IT teams, engineers, and product teams, translating technical requirements into solutions

• Outstanding execution velocity: Ships fast, debugs quickly, and thrives in complex enterprise environments

• Exceptional problem-solving ability: Willing to dive deep into legacy systems and figure out how to make things work together

• Comfortable in high-intensity startup environments with evolving priorities and tight deadlines

• Experience integrating AI/ML tools into traditional CAE or simulation workflows

• Built cloud-based CAE platforms or managed large-scale HPC infrastructure for engineering teams

• Deep knowledge of PLM systems (Teamcenter, Windchill, Enovia) and CAE data management

• Experience with CAE licensing systems (FlexLM, RLM) and software deployment in regulated environments

• Understanding of GPU computing for simulation and AI workloads in HPC environments

• Experience with containerization of CAE applications and building portable simulation environments

• Background in mechanical engineering, aerospace, automotive, or other CAE-heavy industries

• Experience at high-growth AI or engineering software startups (Seed to Series C)

• Forward deployed experience working on-site with customers to solve complex integration challenges

• Open-source contributions to HPC, cloud infrastructure, or CAE tools

• 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

• 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.

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.

“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.