Software Engineer, Libraries at PhysicsX

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Renewables & Sustainability, Space, Aerospace, Medical Devices, Additive Manufacturing, EnergyIndustries

Requirements

A passion for the craft of software engineering and building robust, maintainable systems in a collaborative, cross-functional team
Solid software engineering skills, with a focus on writing clean, testable, and maintainable code
A commitment to owning the software development lifecycle, including testing, containerization, and CI/CD
Expert-level proficiency in modern Python, with a deep understanding of its performance characteristics, design patterns, and packaging
Familiarity with building performant and reliable Python systems, including low-level C/C++ extensions (e.g., using pybind11, Cython) and instrumentation for production telemetry (e.g., Prometheus, OpenTelemetry)
A proactive ownership mindset and the ability to navigate ambiguity
Excellent collaboration and communication skills for working effectively with teams and stakeholders
Ideally
Professional experience in GPGPU programming (e.g., CUDA, Triton) for performance optimization
Experience building and maintaining widely-used internal or open-source libraries
Familiarity with the machine learning development lifecycle

Responsibilities

Collaborate with product managers, machine learning engineers, and library users to translate functional requirements into robust technical specifications and production-ready code
Architect, build, and maintain the foundational software of our internal Machine Learning libraries, with a relentless focus on performance and scalability
Contribute high-quality, tested, documented, and maintainable code across the library stack, ensuring our core systems are reliable and easy for other engineers to build upon
Champion software engineering excellence across the team and company, driving best practices in testing (unit, integration, performance), CI/CD, and system architecture
Own your work end-to-end, from ideation and experimentation through to deployment and maintenance in a small, agile team environment
Continuously explore and evaluate new techniques and frameworks, helping to guide the technical evolution of our platform
Share your knowledge with the team, contribute to our engineering guild, and stay connected with the broader community

Skills

Python

Machine Learning

Deep Learning

Data Processing

Optimization Algorithms

CI/CD

Software Architecture

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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