Full-Time

Software Engineer

Delivery

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

11-50 employees

AI-driven simulation for advanced industries

Energy
AI & Machine Learning
Aerospace
Healthcare

Entry, Junior

London, UK

Hybrid position requires in-office presence.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
AWS
Google Cloud Platform
Requirements
  • 1+ years of relevant work experience.
  • Excellent collaboration and communication skills - with teams and customers alike
  • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly
  • Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps)
  • Experience using public cloud platforms, such as AWS, Azure and GCP
  • Experience managing and deploying scalable Kubernetes workloads, optimising for resource efficiency
  • An understanding of security best practices for workloads in the cloud, including IAM
  • Familiarity with high-level machine learning concepts (eg. model training, model inference, hardware accelerations)
Responsibilities
  • Work directly with our customers and internal users to understand the technical requirements for projects and products
  • Deploy our proprietary ML platform to multiple cloud service providers and on-premise customer compute
  • Own the deployment of custom-tailored software solutions with small, high performing teams building AI solutions for advanced engineering applications
  • Work within delivery teams in a cross functional capacity, taking uses cases and requirements from clients and end-users to improve the product and platform
  • Drive the technical direction of PhysicsX’s proprietary platform using learnings from customer interactions and rapid prototyping of solutions
  • Continuously apply and improve software engineering best practices and standards and coach your colleagues in their adoption

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. The company provides AI-driven simulations that help clients, such as medical device manufacturers and aerospace firms, create more efficient designs and processes. Unlike competitors, PhysicsX offers specialized services on a project basis or through long-term contracts, leveraging its expertise in machine learning to drive significant performance improvements. The goal is to unlock engineering breakthroughs that positively impact climate and human health.

Company Stage

Series A

Total Funding

$31.1M

Headquarters

London, United Kingdom

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $32 million in Series A funding positions PhysicsX for accelerated growth and expansion in customer delivery and product development.
  • The addition of industry veterans like Jim Baum and Jeremy Palmer to the board enhances the company's strategic direction and operational expertise.
  • PhysicsX's technology has the potential to drive significant performance improvements in critical sectors such as healthcare, renewable energy, and transportation, making it a highly impactful place to work.

What critics are saying

  • The competitive landscape in AI and simulation engineering is intense, requiring PhysicsX to continuously innovate to maintain its edge.
  • Dependence on project-based revenue can lead to financial volatility, especially if client acquisition slows down.

What makes PhysicsX unique

  • PhysicsX leverages advanced AI-driven simulations specifically tailored for industries with significant climate and health impacts, setting it apart from general AI service providers.
  • The company's focus on project-based and long-term contracts allows for deep, customized engagements with clients, unlike competitors who may offer more generic solutions.
  • PhysicsX's leadership team, with extensive experience in machine learning and engineering, provides a strong foundation for innovation and client trust.

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