• Play significant role in NVIDIA's effort in contributing to JAX. • Design and implement JAX core components and drive peak performance on NVIDIA products. • Work with AI applied researchers and leaders to build future-proof models. • Build tools that will increase the efficiency of teams developing AI-based systems. • Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.

• Developing systems and component level requirements for design and verification within the Systems Engineering and Certification operating group and projects. • Working closely with cross-functional teams to develop qualification plans and artifacts required for compliance to satisfy regulatory agencies.

• Performing investigations into detected threats and using customers’ security products to analyze, contain, and remediate threats in their environments • Providing customers with thorough reports of the actions taken to ensure they understand what you did to clean up their environment and protect them from further damage • Identifying effective response strategies to further enhance Red Canary’s customers’ security posture • Actively engaging and collaborating with the Detection Engineering, Threat Hunting, Intel, and Product Management teams to develop new ways of performing timely remediation of identified threats • Lead team projects and mentor peers, while providing strategic insights, recommendations, and operational support for product improvement and overall team success • Participating in an on-call rotation to provide 24x7 remediation

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Mentor other Forward Deployed Engineers and set the bar for technical excellence, customer empathy, and execution. • Build reusable assets such as deployment playbooks, demo environments, reference architectures, and battle tested troubleshooting guides. • Create tight feedback loops with Product and Engineering, turning patterns from the field into roadmap input and shipped improvements.