• Interpret and analyze vulnerability results from tools such as Tenable Nessus to assess risk, identify remediation paths, and drive POA&Ms to closure. • Utilize deep technical skills to log into affected systems and directly address complex vulnerabilities across Red Hat Enterprise Linux and Windows Server workloads. • Coordinate closely with system owners, engineering teams, and cloud platform teams to implement mitigations with minimal turnaround time. • Apply strong understanding of cloud security best practices across AWS and Azure environments. • Use comprehensive knowledge of operating system internals to resolve non-standard or configuration-based vulnerabilities. • Develop, track, and validate remediation plans for findings that require configuration changes, service adjustments, or architectural modifications. • Monitor remediation progress, identify blockers, and ensure accurate and timely documentation in accordance with program requirements. • Provide technical support and troubleshooting related to vulnerability remediation activities. • Work with engineering staff to validate fixes, retest findings, and ensure vulnerabilities do not reoccur. • Participate in continuous improvement of vulnerability management processes, reporting, and operational readiness. • Work closely with the program’s Information System Security Officer (ISSO) to coordinate vulnerability remediation activities, POA&M management, and continuous monitoring. • Align vulnerability remediation efforts with RMF and ATO requirements in coordination with the ISSO. • Serve as a backup to the ISSO, providing continuity of security and compliance operations as needed. • Support preparation and updates of security documentation inputs, including POA&M updates and assessment artifacts, related to vulnerability findings.

• Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services; • Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; • Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both). • Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice. • Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space • Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud

• Work within a cross-functional data team to build scalable NLP and ML models • Work from end-to-end on live production pipelines. Not just modeling, not theoretical • Define the best approach to solve problems with ML. Build data and model pipelines • Test, validate, deploy, and monitor solutions for impact • Optimize models for production throughput and uptime requirements • Automate deployments, testing, and monitoring (MLOps)

• Servicing, fault-finding, and repairing industrial and commercial biomass boilers and combustion systems • Providing breakdown cover and scheduled maintenance support • Diagnosing combustion, fuel feed, emissions, and control system issues • Carrying out electrical and mechanical fault-finding to component level • Supporting commissioning and major service activities where required • Completing all service reports, safety documentation, and compliance records clearly and on time • Working safely and professionally on customer sites at all times