Research Engineer (Simulation Systems)

Job Description

Job Description

About Amigo

Amigo builds trust and safety infrastructure for AI in mission-critical environments.

We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.

We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.

About this role

As a Simulation Systems Research Engineer at Amigo, you'll build the high-fidelity simulation infrastructure that enables our AI systems to provide statistical confidence in healthcare decisions. You'll design and implement systems that model complex healthcare environments, patient interactions, and deployment contexts under compute constraints. Your work directly enables the translation of simulated performance to real-world outcomes, forming the foundation of our approach to reliable AI in critical domains.

What you'll do

Build high-fidelity simulation systems that model healthcare environments and patient interactions

Create systems that simulate real-world edge cases : network failures, background noise, system crashes

Develop frameworks for testing AI behavior across diverse patient populations

Build tools for validating simulation accuracy against real-world healthcare data

Design distributed systems that can scale to millions of test scenarios

Collaborate with healthcare experts to ensure simulations capture critical clinical details

What we're looking for

Experience building complex simulation systems

Strong background in distributed systems and high-performance computing

Experience with simulation frameworks and modeling complex real-world systems

Knowledge of statistical sampling and Monte Carlo methods

Track record of building production systems that handle large-scale data processing

Nice to have

Healthcare industry experience or familiarity with clinical environments

Experience with high-throughput computation and distributed processing systems

Background in computational modeling or scientific computing

Knowledge of privacy-preserving techniques for healthcare data

Benefits

Health & Wellness

Comprehensive health, dental, and vision insurance

Mental health support and wellness coaching

Flexible wellness stipend for fitness, therapy, or personal growth

Daily catered lunch and dinner

Growth & Development

Annual learning budget for courses, books, or conferences

Conference attendance budget for professional development

Development setup of your choice

Academic collaboration opportunities

Compensation Range : $150K - $300K