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At PhysicsX, our Delivery team is the bridge between advanced AI and the real-world engineering challenges of our customers. The team includes simulation engineers, machine learning engineers, data scientists, and software engineers — all working closely with customers’ engineering teams to turn AI capabilities into tools that solve concrete problems.
Delivery is demanding. Some of the problems we tackle are complex, and the complexity of our customers’ organizations adds another layer of challenge. Building the right solution often requires iteration after iteration. In this environment, it’s easy to get lost in the how. As we grow the team, we seek colleagues who stay anchored to the what: what engineering decisions are being made and what tools we are building to improve them.
What follows are some of the principles and values that define how we approach Delivery at PhysicsX. They reflect not only how we work, but also what we look for in colleagues who want to collaborate with our customers, building solutions on a platform that is redefining how industries design, manufacture, and operate the systems of tomorrow.
You Question and You Prioritize
We’re looking for people who question what they’re asked to do; who want to understand why it matters and then change the what if it leads to better outcomes for the customer. Delivery isn’t about blindly following a roadmap: understanding opportunity cost is critical. Time, attention, and goodwill are finite resources. Effective Delivery means deploying them wisely, avoiding side-quests that offer little impact, and focusing on the work that drives meaningful outcomes.
You Persist
Delivery thrives on persistence. Being technically capable is table stakes, but building solutions that are both useful and used requires relentless effort, pressure-tested problem-solving, and a healthy respect for how much chaos it takes before things finally click. We value engineers who thrive in uncertainty, find satisfaction in the grind to outcomes, and make the most of their time by avoiding costly side-quests.
This manifests differently in different people. Some dive straight into the problem, confident they’ll figure it out as they go and will be able to build what’s needed to make it work (like Harry Softley-Graham). Others leverage world-class technical expertise to understand exceptionally hard problems quickly, creating the map that the rest of the team can navigate with (like Divya Bohra and Konrad Jarosz).
You Influence
We’re looking for people who can inspire and move others — those with strong opinions and the ability to use their influence constructively. We value colleagues who are opinionated about the next best action, yet are open to changing their minds when presented with a better idea. Making decisions, mentoring peers, and collaborating across teams are all essential to delivering real-world impact.
You Deliver Tangible Impact
Customers often know what they want, but it doesn’t always align with what will solve the challenges their teams are facing. Being disciplined in identifying the right problems to solve (like Sam Lishak) and boldly changing team trajectory when needed (like Matthew Brennan) ensures we don’t spend time building things that are functional but ultimately ineffective. This agility allows us to get the feedback we need and take a product from MVP to deployment smoothly — this is how ideas become practice in action (Ai.rplane wouldn’t exist without Alvaro Azabal).
Building net-new approaches requires genuine rigor and incredible dedication to execution. For example, Phoenix develops models that, by conventional expectations, shouldn’t be possible, but are essential for our work; and Catriona and Juan create massively complex simulations where precision and computational tractability make the difference between success and failure. AI models aren’t useful without practical applications. By working closely with customers and understanding the capabilities that need to be built or deployed, we’re able to ensure our solutions have real, lasting impact. This skill is embedded across Delivery — ask Jack Blount, Ben Levy, or Elliot Hicks about their experiences.
Delivery at PhysicsX is not for everyone. It demands persistence, rigor, and instinct. If that sounds appealing, we are hiring — explore open roles here.