Research Infrastructure Engineer

Key Skills

C++, High performance computing- HPC, Infrastructure as code, Linear Algebra, Machine learning techniques, Python Programming

Job Description

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