Simulation Engineer

1 week ago

New York, New York, United States PhysicsX Full time
About PhysicsX

PhysicsX is a pioneering deep-tech company that brings together scientists and engineers to develop cutting-edge machine learning applications for accelerating physics simulations. Our mission is to unlock new optimization opportunities in design and engineering, driving innovation in industries such as Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables.

Job Summary

We are seeking a highly skilled and enthusiastic Simulation Engineer to join our team. As a Simulation Engineer at PhysicsX, you will work closely with our data scientists, machine learning engineers, and clients to develop a deep understanding of the physics and engineering challenges we are solving. Your primary responsibilities will include setting up and building CFD & multi-physics models to simulate and understand complex real-world phenomena, automating CFD & simulation pipelines to enable fast optimization and parametric CAD coupling, and developing Python/Java-based APIs and interfaces for external workflow integration.

Key Responsibilities
  • Collaborate with data scientists, machine learning engineers, and clients to develop a deep understanding of the physics and engineering challenges
  • Setup and build CFD & multi-physics models to simulate and understand complex real-world phenomena
  • Automate CFD & simulation pipelines to enable fast optimization and parametric CAD coupling
  • Develop Python/Java-based APIs and interfaces for external workflow integration
  • Use on-premise HPC and cloud resources to accelerate high-fidelity models beyond smart model setup and meshing choices
  • Own the delivery of technical workstreams
  • Work at the intersection of CAE and data science, generating highly accurate results and predictions in conjunction with advanced machine & deep learning models
  • Continuously apply and improve engineering best practices and standards and coach colleagues in their adoption
Requirements
  • Enthusiasm about using computational fluid dynamics (CFD) and potentially other multi-physics numerical methods for science and engineering, plus ideally interest in data science and machine learning approaches
  • Ability to scope and effectively deliver projects
  • Strong problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly
  • Excellent collaboration and communication skills - with teams and customers alike
  • Operation of leading CFD platforms, especially STAR-CCM+, but also Fluent/CFX and OpenFoam
  • Setup and solving of complex multi-physics problems
  • Building CFD models from scratch, from geometry clean-up to post-processing
  • Thorough knowledge of fluid dynamics and related physics
  • Advanced skills in meshing, incl. mesh manipulation and adaptive/dynamic mesh techniques
  • Workflow automation, parametric CAD and coupling with other software/code for CO-simulation and optimization
  • Ideally advanced Python and Java coding skills
  • Expertise in model correlation and real-world validation
What We Offer
  • Be part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of
  • Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here
  • Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
  • Work sustainably, striking the right balance between work and personal life
  • Receive a competitive compensation and equity package, in addition to plenty of perks

$120,000 - $240,000 a year. Final salary will be based on experience.

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

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