Preparing for your next Quant Interview?
Practice Here!
OpenQuant
2024-02-06

Research Infrastructure Engineer

logo
PDT Partners
Research Infrastructure Engineer
New York, US
Apply Now
Job Description

Research Infrastructure

We’re looking for a uniquely talented software engineer to join our world- class team. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company. Our engineers love to work on challenging and complicated problems, and in return, they have a chance to make a direct impact on our bottom line. For the right talent, there is fantastic growth potential.

Research at PDT requires significant compute capacity, and as such, we are looking for a talented engineer that understand the importance of how a well- built infrastructure supports complex scientific research.

Expectations:

  • Maintain, develop, and re-imagine extensive internal research stack that continues to be a differentiating factor for PDT business, including container, distributed algorithm, grid-abstraction, and calculation frameworks used by researcher and production teams.
  • Allow the scale, algorithmic complexity, and performance of our HPC grid to be accessible to a diverse set of research users and use cases.
  • Partner with our research team to understand future research directions, and build the next generation of technologies for alpha, signal, and portfolio construction.
  • Competence with linear algebra, calculus, numerical analysis, and wide range of model estimation techniques a big plus.

Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.

  • Exceptional programming skills
  • Passion for infrastructure development
  • Masters (or equivalent experience) in computer science, statistics, mathematics, or a related field

Preferred Qualifications:

  • Experience with Machine Learning systems
  • Experience with C++
  • Experience with the Python scientific stack
Share this job
Share On
Apply Now