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At PhysicsX, Simulation Engineering is the backbone of how we build, train, and deploy AI-accelerated workflows that understand the physical world. Our engineers sit at the critical intersection of physics, design, and machine learning (ML), developing the tools and pipelines that generate the data and insight powering physicsAI. They turn theory into practice, bridging the gap between reality, CAE, and AI.
PhysicsX was founded to solve the hardest engineering challenges. AI is central to that mission — but it only works when grounded in physics, validated by data, and guided by engineers who understand the problem from first principles. That’s where our Simulation Engineers make the difference.
A Day in the Life of a Simulation Engineer
Each day begins with collaboration — listening, learning, and building together. By partnering closely with both the wider PhysicsX organization and our customers, we capture the nuances of how engineering teams design, test, and make decisions in the real world. What makes this uniquely powerful at PhysicsX is the breadth and depth of experience across our growing team of 35 Simulation Engineers. Many have worked across aerospace, automotive, energy, and semiconductors, bringing expertise in CFD, FEA, electromagnetics, chemistry, material science, and more. That diversity allows us to tackle complex multi-physics problems spanning various industries and stages of the engineering lifecycle. At the same time, broadens perspective, helping us see beyond conventional boundaries and spot opportunities others might overlook. When a customer describes a challenge, we’re not confined to that industry’s playbook. We can draw on proven approaches from entirely different domains and adapt them in new, effective ways. The goal is simple: to build solutions that fit how our customers work and solve the problems that matter most to them.
From there, the work becomes deeply technical. From parameterizing complex geometries, co-creating generative geometry models, and developing solver setups to guiding complex multi-objective optimizations, as well as setting up and automating multi-physics simulation pipelines to generate high-quality training data that fuels our models. But technical sophistication alone isn’t enough. As stewards of physical accuracy, we ground every simulation in engineering judgement & real-world validation. That commitment to aligning prediction with reality is what turns our models from interesting experiments into trusted engineering tools. A single of these workflows might explore thousands of design variations or encode years of engineering judgment into scalable, reusable automation.
Later, that same engineer might analyze results, extract insights, and discuss them with the customer — not as raw numbers, but as clear answers, suggestions, and innovative ideas that drive better engineering decisions. When new patterns emerge in these discussions, as they often do, adaptability becomes our advantage. Because we’ve built flexible and automated workflows from the start, we can quickly iterate and explore new directions, sometimes in minutes. What once required starting from scratch becomes a seamless adjustment, keeping the pace of discovery alive. The rhythm shifts constantly, from deep technical focus to collaboration and delivery.
Collaboration and Delivery
Simulation Engineers are part of PX Delivery — our forward-deployed engineering team. That means working shoulder-to-shoulder with customers to solve real-world challenges and prove the value of AI in production.
We speak our customers’ language. We understand their challenges, their constraints, their workflows. Our credibility comes from hands-on, practical problem solving, and our role is not just to deliver results but to ensure that AI-driven workflows create measurable impact.
Inside PX, Simulation Engineers collaborate with ML Engineers, Data Scientists, and Software Engineers to build models that truly understand physics. This partnership ensures that what we train on — and what we train toward — aligns with engineering reality and real end-user experience.
Simulation Engineers are the connective tissue across PX: translating physics into data, data into models, and models into insight and decisions.
The Simulation Workbench: Where AI Meets Engineering Workflows
AI is at the core of our engineering platform, but it takes a lot more than a neural networks to change the physical world. The breakthrough lies in integration — numerical simulation workflows, physical testing, and AI operating as a single system. Together, they combine their individual strengths into a seamless, intelligent & transformative engineering workflow.
The PX Simulation Workbench is where that integration happens.
We use it to automate, orchestrate, and scale simulations, unifying the results with real-world measurement data while preparing setups for AI model training and maintaining full end-to-end data lineage. This transforms what were once manual, one-off analyses into a structured, scalable capability, enabling us and our customers to move from a few runs to thousands, and from isolated outputs to validated datasets.
Our Simulation Engineers shape the Workbench through daily use. Each new project, physics domain, or edge case strengthens it — turning experience into infrastructure. It’s how we standardize best practice, accelerate delivery, and enable foundation model development.
Powering Geometry and Physics Foundation Models
Compared to Large Language Models, our models need something that doesn’t exist freely on the internet: vast amounts of broad, high-quality training data. That's why PX creates it.
We generate validated datasets that capture real engineering behavior and context. These broad and comprehensive datasets train PX’s geometry and physics foundation models, giving them the grounding they need to reason about shape, material, and dynamics.
Our models don’t just fit patterns; they learn from engineered reality, enabling new capabilities in design, optimization, and decision-making across advanced industries. That’s what makes them powerful, and why Simulation Engineering is at the core of everything we do.
Judgment, Problem Solving, and Making Things Happen
Simulation engineering is as much about judgment as it is about computation. Simulations are not ground truth; they are models built on assumptions, approximations, and boundaries. The same is true for AI. Knowing when a result is meaningful and when it isn’t is what keeps our work credible.
Our engineers combine rigor with pragmatism. Many of the hardest problems don’t have neat answers, and elegant theory often collides with real-world constraints. They know when to validate with a quick test, when to refine fidelity, and when to simplify for speed. They find the balance between theory and real-world constraints — always focused on delivering insight that drives decisions.
And above all, they make things happen. Our engineers don’t wait for perfect conditions or directions. They define the next step, act on it, and turn complexity into answers. Their initiative, creativity, and disciplined focus turn ambiguity into solutions that deliver real-world value.
Changing How Engineering Is Done
Engineering has long advanced through sequential cycles of design, test, and iteration. PX is changing that model. By combining simulation automation and AI, we enable customers to explore vast design spaces, validate faster, and innovate with unprecedented speed.
Simulation Engineers sit at the center of this transformation. They understand both the power and limits of simulation, AI, and measurements — and use that understanding to keep projects grounded in physics while pushing boundaries.
The result is not just faster engineering, but smarter engineering: integrated, adaptive, and scalable.
Why It Matters
For customers, simulation engineering is trust made tangible — proof that AI-native engineering isn’t a distant vision, but a reality augmenting capabilities today. It means workflows that deliver, results that stand up to scrutiny, and solutions engineers can act on.
For PX, it’s the foundation that makes physical AI possible, and the differentiator that sets us apart.
Simulation engineering at PhysicsX isn’t about “just running sims”. It’s about judgment, problem solving, and integration. It’s about building the workflows, data, and trust that turn AI into engineering capability.
We, the Simulation Engineers at PhysicsX, are on a mission to build the bridge between physics and AI, transforming how the world’s most sophisticated physical systems are designed, built, and operated. If this sounds like your kind of challenge — come build with us!