Amigo Inc.
Overview
Research Engineer (Simulation Systems) at Amigo Inc. We build trust and safety infrastructure for AI in mission-critical environments. 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 have 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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Technology, Information and Internet We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Research Engineer (Simulation Systems) at Amigo Inc. We build trust and safety infrastructure for AI in mission-critical environments. 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 have 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 Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Technology, Information and Internet We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr