Kalpa Group

Kalpa Group

AI Infrastructure Engineer

New York, New York · Senior

Sponsorship not specified$250k-$500kDetected 39 days ago
RustC++Machine LearningResearch

About the role

  • Senior AI Infrastructure Engineer | Systematic Trading | New York The buy side is entering one of the most significant technology shifts it has experienced in decades.
  • AI is changing how investment research is conducted, how signals are discovered, and how firms compete.
  • The most sophisticated systematic trading firms are beginning to rebuild their research platforms around that future - we're partnered with one of them.

Responsibilities

  • You'll build the systems and infrastructure that make all of this possible - partnering closely with researchers, shaping the technical agenda, and owning the platform that underpins the research lifecycle.

Compensation

  • $250k-$500k

Benefits

  • The environment spans large-scale reinforcement learning, agentic research workflows, GPU-native simulation, advanced machine learning systems, and the training and inference infrastructure that supports them at scale.

Company info

  • scaling limits, performance bottlenecks, distributed compute, optimisation under real-world constraints, and infrastructure where efficiency directly impacts research capability and trading performance.
  • You'll work alongside people from elite quant firms, frontier AI labs, advanced HPC environments, and deeply technical engineering teams.
  • The culture is highly technical, low bureaucracy, and built around autonomy, speed, and first-principles thinking.
  • Engineers work closely with researchers, influence core architectural decisions, and operate in an environment where technical quality matters more than hierarchy or process.
  • Compensation is top of market, with meaningful upside tied to performance.
  • Very few firms are genuinely positioned to help define what AI-native quantitative research will look like over the next decade.
  • This is one of them.

This listing is sourced directly from Kalpa Group's careers page and normalized into a canonical job model.