Virdx

Healthcare

Simulation&PerformanceEngineerforMedicalPhysics

€85–130k ~AI est. Europe FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Simulation & Performance Engineer for Medical Physics at Virdx. Skills: Simulation physics, Performance optimization, GPU computing, Low-level optimization. Improve speed of physics simulator. Improve reliability of physics simulator”

Industry & Context.

Healthcare
Problems you'll solve

Debugging strategies; Performance bottlenecks

What They're Looking For.

Must Have

Practical software engineering experience, Experience with high-performance computing, Experience with low-level systems, Experience with simulation, Experience with graphics, Experience with compilers, Experience with GPU programming, Python expertise, C, C++, Rust, Zig expertise, GPU programming experience, Performance optimization experience, Experience building technically deep projects

Nice to Have

CUDA experience highly valuable, Experience with non-CUDA GPGPU technologies helpful

What You'll Do.

Improve speed of physics simulator

Improve reliability of physics simulator

Improve scalability of physics simulator

Turn research logic into library code

Develop reusable library code

Develop robust library code

Develop extensible library code

Take ownership of engineering tasks

Improve simulator performance across CPU

Improve simulator performance across GPU

Harden simulator code

Explain trade-offs to engineers

Explain trade-offs to physicists

Explain implementation details

Explain performance characteristics

Contribute to engineering standards

Contribute to tooling development

Contribute to workflows development

How You'll Work.

Team & Collaboration

Work closely with physicists; Work with physics team; Broader team

Communication Scope

Explaining complex topics

Full Job Description

## Description Virdx is the Cancer Diagnostics unit of QuantCo. We are hiring a software engineer to help us accelerate and improve our simulation physics platform. Virdx is making non-invasive, dignified, and actionable cancer diagnostics a reality by using cutting-edge MRI acquisition, analysis, and simulation technology. In this role, you will work closely with our physics team to turn complex scientific logic into fast, reliable, and reusable software, with a focus on performance, low-level optimization, GPU computing, and robust simulator development. ## What you will do Contribute directly to our simulation physics group by improving the speed, reliability, and scalability of our physics simulator. Work closely with physicists to turn research logic into reusable, robust, and extensible library code that can be maintained and built upon by the broader team. Take ownership of engineering tasks that currently slow down physics workflows. Improve simulator performance across CPU and GPU code paths, with a focus on profiling, debugging, and optimizing bottlenecks in complex numerical systems. Debug, test, and harden simulator code so that it behaves reliably across different workloads, environments, and hardware configurations. Help the team make better technical decisions by clearly explaining trade-offs, implementation details, and performance characteristics to both engineers and physicists. Contribute to the development of engineering standards, tooling, and workflows that make simulation development faster, safer, and easier to maintain. ## Who we are looking for You want to create something meaningful and own every step of that creative process to turn ideas into reality. You have practical software engineering experience with exposure to domains, such as high-performance computing, low-level systems, simulation, graphics, compilers, or GPU programming. You enjoy understanding how software behaves beneath the abstraction layer and are comfortable explaining

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