Senior Software Engineer, PhysicsX

Backend

Salary not provided

+ Equity package

Kubernetes

Python

Kafka

RabbitMQ

Senior and Expert level

London

More information about location

2-5 days a week in office (Shoreditch, London)

Machine learning for physics & engineering simulations

Open for applications

Machine learning for physics & engineering simulations

101-200 employees

B2BArtificial IntelligenceDeep TechMachine LearningScience

Open for applications

Salary not provided

+ Equity package

Kubernetes

Python

Kafka

RabbitMQ

Senior and Expert level

London

More information about location

2-5 days a week in office (Shoreditch, London)

101-200 employees

B2BArtificial IntelligenceDeep TechMachine LearningScience

Company mission

To reimagine simulation for science and engineering using AI.

Job

Company

Role

Who you are

A passion for the evolving craft of software engineering
The ability to work collaboratively and effectively in cross-functional teams
Proficiency in both Python and/or Go
A willingness to take ownership from implementation to production, including testing, containerisation, continuous integration and delivery, authentication / authorisation, telemetry / observability / monitoring
A working understanding of messaging in event-driven systems, which implies some experience using tools such as NATS, RabbitMQ, or Kafka for example
Some experience, professional or otherwise, developing applications for Kubernetes. CKAD is a plus, but by no means a requirement

What the job involves

We are looking for passionate Senior software engineers to join us in building the cutting-edge platform that empowers Data Scientists, Machine Learning Engineers and Simulation Engineers to create, train, and deploy physics-informed models at PhysicsX
You'll take ownership of your work from implementation to production, ensuring quality, scalability, and observability at every step
By engaging with our Guilds and leveraging domain knowledge from end users, you’ll not only refine your craft but also help shape the future of our software engineering practices
Take part in building a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models
Work on a focused, stream-aligned and cross-functional team (back-end, front-end, design) that is empowered to make its implementation decisions towards meeting its objectives
Gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using your product
Lead and own initiatives with a high degree of autonomy

Salary benchmarks

Our take

The rise of generative AI has empowered many industries to fine-tune their operations. PhysicsX utilizes the burgeoning technology to improve the efficiency and advancement of simulations in physics, with applications across aerospace, automotive, renewable energy, medical devices, additive manufacturing, electric vehicles, motorsport, and renewables.

Co-founded by a chief scientist for championship-winning Formula One teams, PhysicsX was born out of a hunger for more advanced research and development phases using numerical physics. R&D and physics simulation go hand-in-hand for many industries, and PhysicsX can help manufacturers iron out problems before they even build a prototype.

Founded in 2020, and raising an impressive $32 million in 2023, the company is pursuing accelerated growth through its customer delivery, product, and research wings. It is about to take the next leap in building out its technology platform and product offering. As it further develops its product, the company has a real chance to capture the market moving forward.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Nov 2023

$32m

SERIES A

Total funding: $32m

Company benefits

Equity package
10% Employer pension contribution
33 days holiday per year with UK bank holidays
Flexible working (remote-friendly, hybrid)
Flexible parental leave (3 months)
Social events (Friday drinks, board game nights, vintage car meet-ups, tech community & art events, etc.)
50 hours per year for learning, training, conferences, volunteering
Bike2Work Scheme

Company HQ

Westminster, London, UK

Leadership

Jacomo Corbo

(CEO)

Previously a Partner at McKinsey & Company, Chief Scientist at QuantumBlack, Senior Research Fellow at Wharton Business School, and Assistant Professor at the University of Ottawa.

Robin Tuluie

(Chairman)

Previously the Head of R&D at Renault (Alpine) F1, and Chief Scientist and Head of R&D for the Mercedes F1 team.

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