Chief Simulation Architect

Applied Methods Ltd; New York (NY); On-site; USD 425,000 - 525,000; Full time

Benefits offered by this job

Equity

Full benefits

Job summary

Aaru in New York City is seeking a Head of Simulation Engineering to lead the interface between research, platform, and infrastructure teams while delivering production-grade simulation methods.

This hands-on leadership role requires building scalable architectures, driving evaluation, rollout, and observability, and hiring a world-class team to move methods from prototype to customer-ready deployment.

Responsibilities

• Own simulation quality in production across behavioral fidelity, calibration, latency, cost, reproducibility, and reliability.
• Define the architecture and operating model that carries a method from research prototype through evaluation, rollout, observation, and improvement.
• Build evaluation harnesses, benchmarks, ablations, graders, and regression tests that distinguish a faithful simulation from a merely plausible answer.
• Make large population runs observable and debuggable: version models, prompts, data, agent definitions, environments, and experiment configuration so results can be reproduced and explained.
• Partner with research to decide when a new method is ready to ship and what evidence is required before it becomes a customer-facing capability.
• Build tight feedback loops with deployment. Turn field failures and surprising outcomes into concrete hypotheses, experiments, fixes, and new research questions.
• Set clear interfaces and ownership across Simulation Research, Simulation Engineering, Infrastructure, and Platform.
• Hire, coach, and retain an exceptional team while continuing to unblock the hardest technical problems yourself.

Job description

Aaru in New York City is seeking a Head of Simulation Engineering to lead the interface between research, platform, and infrastructure teams while delivering production-grade simulation methods.

This hands-on leadership role requires building scalable architectures, driving evaluation, rollout, and observability, and hiring a world-class team to move methods from prototype to customer-ready deployment.