Deployment Lead at PhysicsX

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace & Defense, Materials, Energy, Semiconductors, Automotive, Deep-tech, AI, Simulation SoftwareIndustries

Skills

Key technologies and capabilities for this role

InfrastructureDeploymentCustomer Relationship ManagementTechnical SupportCloud InfrastructureOn-Premise InfrastructureSecurity ConstraintsTroubleshooting

Questions & Answers

Common questions about this position

What technical skills are required for the Deployment Lead role?

The role requires experience deploying Kubernetes clusters across AWS, Azure, and on-premise infrastructure, proficiency with infrastructure-as-code tools like Crossplane, Terraform, and Helm, and understanding of networking, security, and observability in containerized environments.

What soft skills are needed for this position?

Candidates need a proven track record of working directly with external customers, excellent communication skills to explain complex technical concepts to diverse audiences, and strong problem-solving skills with a customer-first approach.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for the Deployment Lead role?

This information is not specified in the job description.

What makes a strong candidate for this Deployment Lead position?

A strong candidate has hands-on experience with customer deployments in diverse infrastructures, combines deep technical expertise in Kubernetes and IaC with excellent customer relationship skills, and demonstrates strong problem-solving and communication abilities.

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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