High Performance Compute (HPC) Storage Engineer
Austinonsitemid$150K – $250K
via Greenhouse
About this role
The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading. We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, r, shell
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Austin. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonrshell