Software Engineer, Parallel Scientific Computing
VorticityAI & company
Redwood CitySenior
Y Combinator
Alumni Ventures Group
Cambium Capital
Dolby Family Ventures
Moore Strategic Ventures
Software Engineering
About the role
TL;DR
Develop and optimize computational kernels for custom HPC hardware.
- •Develop and optimize core computational kernels for Vorticity's new Scientific Processing Units (SPUs) to push the boundaries of High-Performance Computing (HPC).
- •You will work across abstraction layers, from mathematical descriptions to low-level parallel software and hardware execution.
- •Key Responsibilities Implement and parallelize scientific applications using Vorticity's proprietary SDK.
- •Develop and optimize performance-critical kernels for the SPU architecture.
- •Own iterative performance optimization loops, benchmarking, and profiling.
- •Collaborate with architecture and performance teams on software and hardware solutions.
- •Requirements 5+ years of experience in modern C++ (CUDA C++ strongly preferred).
- •Ability to understand numerical algorithms and translate mathematical descriptions into implementations.
- •Strong understanding of computer architecture and software-hardware interaction.
- •Proficiency with C++, Python, and Linux development environments.
Required skills
C++PythonLinux
Domain expertise
deeptech
Tech stack
C++PythonLinux