Jobs at DV Trading

Senior AI Engineer to design, develop, and productionize machine learning and AI systems for proprietary trading. Collaborate with researchers and traders to implement, optimize, deploy, and monitor models and scalable infrastructure, and contribute to technical direction and mentoring.

Build and operate DV's model layer: fine-tune and distill open-weight models, run on-prem inference infrastructure on Kubernetes, implement a model gateway routing across providers, evaluate model quality/cost/latency, manage GPU provisioning and utilization, and define tooling for model selection and production regression testing.

Develop and maintain proprietary trading tools for commodity desks; collaborate with developers, traders, and researchers; design greenfield solutions and extend existing codebases; use AI to accelerate development; take ownership from design through deployment and production support.

Work in small teams to build low-latency applications and trading tools, delivering self-contained features within an existing production codebase. Use AI coding tools responsibly, own and validate shipped code, and develop performance-sensitive, numerical solutions. Onsite full-time at the New York office for the summer internship.

The role involves developing and enhancing a low-latency trading platform, collaborating with traders and developers, while learning proprietary methodologies.

Lead design and implementation of a low-latency C++ trading platform covering execution, market data, order and risk management. Build direct exchange connectivity, optimize microsecond/nanosecond performance, collaborate with traders and quants, and own systems end-to-end in production trading environments.

Operate and evolve an on‑prem, latency‑sensitive Kubernetes platform and observability stack. Build and maintain CI/CD and GitOps workflows, infrastructure automation, and tooling. Onboard and support trading desks, write runbooks, tune alerts, scale metrics/logs/traces, and drive platform adoption and disaster recovery planning.

Manage and scale proprietary trading strategies, optimize execution models, and oversee risk and P&L management while collaborating with quant and engineering teams.

The Trade Support Engineer ensures optimized trading operations by monitoring trading platforms and Linux environments, resolving issues, supporting traders, and driving improvement projects.

Manage and scale proprietary trading strategies, develop and optimize models and execution frameworks, and collaborate across teams to improve performance.