Virdx
Healthcare
Simulation&PerformanceEngineerforMedicalPhysics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
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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