Principal Software Engineer - Engineering Applications
UK Visa Sponsorship Analytics
Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
About Us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The Role
PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. As adoption grows, one of the most significant challenges is how data is accessed, shared, and governed across services, teams, and compute environments.
Simulation and AI workflows generate large and complex datasets — meshes, solver outputs, experiment artifacts, and derived model data — that must move seamlessly between interactive environments, automated pipelines, platform services, and external customer infrastructure.
Many engineering tools originate from POSIX filesystem assumptions, while modern cloud platforms are built around distributed services and object storage. Bridging these worlds requires preserving usability without inheriting the operational and scalability limitations of traditional mounting-based approaches.
Data permissioning is a core concern. This role will integrate fine-grained authorisation into the platform’s data model to enable secure multi-tenant data sharing.
We are looking for a Staff Software Engineer
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The Role
PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. As adoption grows, one of the most significant challenges is how data is accessed, shared, and governed across services, teams, and compute environments.
Simulation and AI workflows generate large and complex datasets — meshes, solver outputs, experiment artifacts, and derived model data — that must move seamlessly between interactive environments, automated pipelines, platform services, and external customer infrastructure.
Many engineering tools originate from POSIX filesystem assumptions, while modern cloud platforms are built around distributed services and object storage. Bridging these worlds requires preserving usability without inheriting the operational and scalability limitations of traditional mounting-based approaches.
Data permissioning is a core concern. This role will integrate fine-grained authorisation into the platform’s data model to enable secure multi-tenant data sharing.
We are looking for a Staff Software Engineer
to lead the evolution of Data Integration Services — shared platform capabilities that define how data is discovered, accessed, exchanged, and governed across PhysicsX.
This role focuses on designing cloud-native data access patterns informed by filesystem semantics, distributed storage tradeoffs, and real-world workload behaviour. You will help teams interact with data predictably regardless of where it resides, while ensuring the platform remains scalable, secure, and operable at scale.
What You Will Do
This role focuses on designing cloud-native data access patterns informed by filesystem semantics, distributed storage tradeoffs, and real-world workload behaviour. You will help teams interact with data predictably regardless of where it resides, while ensuring the platform remains scalable, secure, and operable at scale.
What You Will Do
- Define and drive the technical vision for Data Integration Services as a shared platform capability.
- Design scalable, cloud-native data access patterns supporting simulation, ML, and platform workloads without tightly coupled mounting solutions.
- Establish consistent abstractions for accessing datasets across APIs, services, and compute environments.
- Design integrations with storage ecosystems including:
- Object storage platforms (S3-compatible systems, Azure Blob, GCS, MinIO)
- Managed storage and filesystem abstraction platforms (e.g. FSx, JuiceFS, Alluxio, or similar systems)
- A passion for the craft — a drive for engineering excellence and a commitment to raising technical standards across teams.
- Strong software engineering foundations — algorithms, data structures, and system design, with a focus on building clean, maintainable, and testable systems. Strong command of Golang and Python.
- Experience building developer-facing data platforms or internal data infrastructure.
- Exposure to ML, simulation, or HPC workflows with large-scale datasets.
- Familiarity with data virtualisation or access acceleration technologies.
- Experience enabling hybrid or externally hosted compute to securely access shared data.
- Knowledge of dataset cataloging, metadata systems, or lineage tracking.
- Experience designing scalable alternatives to filesystem-based integration patterns.
- Prior experience shaping platform capabilities adopted organisation-wide.
- Equity options – share in our success and growth.
- 10% employer pension contribution – invest in your future.
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