Full-Time

HPC Engineer

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

11-50 employees

AI-driven simulation for advanced industries

Energy
AI & Machine Learning
Aerospace
Healthcare

Junior, Mid

London, UK

Onsite work required in Shoreditch, London.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Microsoft Azure
Python
CUDA
AWS
Linux/Unix
Requirements
  • Highly proficient with HPC systems (on prem and potentially cloud).
  • Proficiency in Linux, MacOS, and Windows, including virtualization and scripting.
  • Good networking skills (Infiniband, vLANs, VPNs, WiFi, etc.).
  • Some knowledge of Azure, Entra ID, InTune, Exchange Online, and Office 365.
  • Knowledge of cloud beneficial but not necessary (e.g., AWS, Azure).
  • Ability to scope and deliver projects effectively.
  • Strong problem-solving skills and the ability to analyse issues and recommend solutions efficiently.
Responsibilities
  • Enhance our CPU, GPU, HPC and cloud infrastructure.
  • Design and configure new HPC/ML servers.
  • Provide expertise with technologies such as CUDA, SLURM, Python etc.
  • Drive IT solutions that align with our business objectives.
  • Contribute to our IT strategy and roadmap implementation.
  • Innovate to maintain the highest standards for our technology stack.
  • Collaborate with data scientists, machine learning engineers, and simulations engineers to accelerate workflows.
  • Continuously learn and apply best practices, supporting 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 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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