Onsite Software Engineer, AI Physics Simulations

Jackalope Digital LLC; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Private medical insurance

Equity options

25 days of Annual Leave

Eye tests

Bike2Work scheme

Season ticket loan

Octopus EV salary sacrifice

Job summary

PhysicsX in the United Kingdom is seeking a Software Engineer to design and deploy applications that leverage our physics AI models for engineering and manufacturing customers. You’ll work with customers, data scientists, and ML engineers to translate complex problems into practical software solutions.

You will travel 3-4 weeks per quarter to customer sites across North America, Europe, Asia, and Oceania, collaborating on-site to ensure delivery, usability, and impact while contributing to a

Qualifications

• Experience translating complex engineering problems into software solutions.
• Strong collaboration with cross-functional teams including data scientists and ML engineers.
• Ability to travel to customer sites for 3-4 weeks per quarter.

Responsibilities

• Collaborate with data scientists and ML engineers to ship physics models to customers.
• Design and deploy applications that solve customers' engineering problems.
• Build and maintain Python services and RESTful APIs for end-users.

Skills

Python

RESTful APIs

FastAPI

Kubernetes

Cloud deployment

Customer collaboration

Education

Bachelor's degree in engineering or related field

Tools

Helm

Terraform

AWS

Azure

Job description

PhysicsX in the United Kingdom is seeking a Software Engineer to design and deploy applications that leverage our physics AI models for engineering and manufacturing customers. You’ll work with customers, data scientists, and ML engineers to translate complex problems into practical software solutions.

You will travel 3-4 weeks per quarter to customer sites across North America, Europe, Asia, and Oceania, collaborating on-site to ensure delivery, usability, and impact while contributing to a