Senior Software Engineer, Backend at PhysicsX

England, United Kingdom

PhysicsX Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Deep-tech, Machine Learning, Physics Simulations, Aerospace, SpaceIndustries

Requirements

Candidates should possess 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, and a willingness to take ownership from implementation to production, including testing, containerization, continuous integration and delivery, authentication / authorization, telemetry / observability / monitoring.

Responsibilities

The Senior Software Engineer will 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, gather and leverage domain knowledge and experience from the Data Scientists and Simulation Engineers using their product, and lead and own initiatives with a high degree of autonomy.

Skills

Python
Go
CI/CD
Containerization
Testing
Authentication
Authorization
Observability
Monitoring
NATS
RabbitMQ
Kafka

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.

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