About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Who We’re Looking For

We are seeking a skilled Electromagnetic Simulation Expert with a strong focus on high-frequency electromagnetics applications in the semiconductor domain including chip and advanced package design, signal and power integrity, high-speed interconnects, and EMI/EMC. Experience with adjacent applications such as antenna design, induction heating, or electric motors is also valuable.

You bring deep expertise in electromagnetic theory and simulation, with demonstrated hands-on experience in one or more key areas: low-frequency electromagnetics, including magnetostatics, electrostatics, motors, transformers, actuators, and eddy current analysis; high-frequency electromagnetics, spanning microwave components, antennas, radar and RCS modeling, S-parameter analysis, and signal and power integrity; or EMI/EMC analysis across the frequency spectrum.

You have a solid ability to apply fundamental knowledge to real-world phenomena across automotive and electric vehicles, aerospace and defense, telecommunications, semiconductor and electronics, and other industries. Highly proficient in at least one industry-standard EM simulation platform, you are adept at using these tools to create efficient, scalable workflows that drive impactful results. Relevant tools in this space include Ansys HFSS, Ansys Maxwell, CST Studio Suite, COMSOL Multiphysics with its RF and AC/DC modules, Altair FEKO, Altair Flux, and Siemens Simcenter MAGNET. Coding skills in Python and/or MATLAB, or the ability to quickly learn programming languages, is an advantage. Experience with PCB layout and signal integrity analysis using tools such as Cadence Allegro, Altium Designer, or Ansys SIwave is a nice to have.

With at least 3 to 5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're comfortable setting up complex EM simulations independently, interpreting results with depth, and making informed decisions based on solid physics and engineering judgement.

As a Senior Simulation Engineer, you won't just create models, you'll build what truly matters.

This Role

In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the electromagnetics engineering challenges we are solving. You'll play a crucial role in delivering high-fidelity simulations by:

Independently building complex electromagnetic models from the ground up, covering low-frequency and high-frequency EM applications, to simulate and understand complex real-world phenomena, including using experimental data to validate simulations and ensure accuracy.
Automating simulation pipelines, enabling fast optimization and parametric design coupling for efficient results across a broad range of EM applications.
Leveraging our cloud platform and on-premises HPC to accelerate high-fidelity models beyond smart model setup and meshing choices.
Collaborating closely with customers to understand their engineering challenges and solve them using simulation and AI. You will present results clearly and suggest next steps while balancing accuracy and efficiency, often working under pressure to meet tight deadlines.
Working at the intersection of CAE and data science, generating accurate simulation results and predictions to train advanced Machine Learning and Deep Learning models.