Senior Software Engineer, Backend (Relocation to the UK) at PhysicsX

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Simulation, Deep TechIndustries

Requirements

Passion for the evolving craft of software engineering
Ability to work collaboratively and effectively in cross-functional teams
Proficiency in Python and/or Go
Willingness to take ownership from implementation to production, including testing, containerization, continuous integration, and delivery, authentication/authorization, telemetry/observability/monitoring
Working understanding of messaging in event-driven systems (experience with tools like NATS, RabbitMQ, or Kafka is a plus)
Some experience developing applications for Kubernetes. (CKAD is a plus, but not required)

Responsibilities

Building a platform for Deep Physics Models
Working with cross-functional teams
Gathering and leveraging domain knowledge
Leading and owning initiatives

Skills

Python

Kubernetes

Docker

NATS

RabbitMQ

Kafka

CI/CD

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

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. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees

Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Risks

UK's AI startup surge may dilute PhysicsX's market share.

Dependence on AWS poses data security and service reliability risks.

Rapid AI advancements require continuous innovation to avoid obsolescence.

Differentiation

PhysicsX uses AI to revolutionize machine design in climate and health sectors.

Their LGM-Aero model reduces aerospace concept development time from months to hours.

PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

Upsides

Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.

$32 million Series A funding boosts growth and research expansion for PhysicsX.

UK's AI market growth offers expansion opportunities for PhysicsX.

Land your dream remote job 3x faster with AI

Try Jobo Free