HPC Security Architect
Required Qualification
(as evidenced by an attached resume)
Bachelor's degree. In lieu of a degree, a combination of directly related full-time experience in cybersecurity, with experience in research computing or large-scale distributed systems totaling nine [9] years may be considered. Five [5] years of experience in cybersecurity, with experience in research computing or large-scale distributed systems. Experience in NIST 800-171, HIPAA, and regulated data environments. Experience with Identity and access management architectures. Experience with Network and system security design. Experience with Linux systems, high-performance networking, and storage architectures. Experience with translating complex regulatory requirements into technical implementations.
Preferred Qualifications:
- Advanced degree (foreign equivalent or higher).
- Experience supporting HPC environments or research infrastructure.
- Experience in AI/ML security, model governance, and data provenance.
- Experience with federated identity (InCommon, SAML, OIDC) and research collaboration frameworks.
- Certified in CISSP, CISM, CCSP, or similar.
Brief Description of Duties:
The HPC Security Architect leads the design, implementation, and governance of security architecture across Stony Brook University's advanced research computing ecosystem, including AMA27 (https://researchconnect.stonybrook.edu/en/projects/category-i-ama27-sustainable-cyber-infrastructure-for-expanding-p/) , SeaWulf (https://rci.stonybrook.edu/HPC/understanding-SeaWulf) , NVWulf (https://rci.stonybrook.edu/HPC/nvwulf/about) , and ClinWulf (https://rci.stonybrook.edu/HPC/clinwulf/about) . This role establishes a comprehensive, risk-based security framework ensuring compliance with HIPAA, NIST 800-171, NIH GDS, and emerging AI governance standards. The incumbent operates at the intersection of research enablement and enterprise security, partnering with the Division of Information Technology (DoIT) (https://it.stonybrook.edu/) , Stony Brook Medicine IT (SBMIT), Research Security, IRB, and faculty to embed secure-by-design principles across compute, storage, data workflows, and collaborative research environments. The HPC Security Architect must have the ability to communicate with others effectively.
HPC Security Architecture & Strategy
- Design and maintain a multi-tier security architecture for research computing environments spanning SeaWulf, NVWulf, ClinWulf, and AMA27 (NSF Tier-1 HPC).
- Define reference architectures for secure compute, storage (GPFS/Arcastream), and high-speed networking (InfiniBand).
- Establish segmentation strategies (network, identity, workload isolation) across research tiers.
- Lead adoption of zero trust principles in HPC and research environments.
- Align HPC security strategy with institutional and SUNY-wide initiatives (e.g., Empire AI).
Compliance & Regulatory Alignment
- Lead implementation of security controls aligned to HIPAA Security Rule, NIST 800-171/CMMC, NIH Genomic Data Sharing (GDS) Policy, and federal export control requirements.
- Partner with Research Security, Privacy, IRB, and Legal to define compliant research computing patterns and support Data Use Agreements (DUAs).
- Enable secure data acquisition, storage, and sharing workflows.
- Develop and maintain System Security Plans (SSPs) and supporting documentation for regulated environments.
Identity, Access, and Data Security
- Architect and enforce identity and access management (IAM) integration (e.g., SailPoint, federated access, MFA).
- Implement role-based and attribute-based access controls for HPC and research datasets.
- Define secure onboarding workflows for faculty, research staff, external collaborators, and federated/national computing environments (e.g., NSF ACCESS, Empire AI).
- Oversee data protection strategies, including encryption, key management, and secure data lifecycle controls.
Secure Research Environments & Data Governance
- Design and operationalize tiered secure research environments (open, restricted, regulated).
- Collaborate with Data Brokerage and Honest Broker services to ensure privacy-preserving data access.
- Define secure data pipelines for clinical data (EMR integrations, TriNetX, OnCore/Cerner RPE), genomic and imaging data, and large-scale AI/ML datasets.
- Establish controls for secure collaboration and data sharing, including external access frameworks.
Threat Modeling, Risk Management & Incident Response
- Conduct threat modeling for HPC and AI workloads, including supply chain and model security risks.
- Lead risk assessments for new research initiatives and infrastructure deployments.
- Partner with enterprise security teams to integrate HPC into SOC monitoring, vulnerability management, and incident response processes.
- Develop playbooks for research-specific incident scenarios (e.g., data exfiltration, misuse of compute resources).