• End-to-end management of P-Rel production infrastructures supply chain, from NPI Infrastructure review to Mass Production delivery and full implementation at production sites • Coordinating ongoing production capacity management and support, risk assessment, infrastructure establishment, maintenance activities, budgeting, and process improvements • Serving as the primary contact for multiple production sites to ensure full infrastructure support for NVIDIA Mass Production

• Serve as a senior scientific and technical advisor to the Program Manager, supporting the development and execution of new and existing ARPA‑H R&D programs • Conduct rigorous evaluations of the current scientific and technical landscape across oncology, diagnostics, and medical device development • Identify gaps, risks, and opportunities within research portfolios aligned with ARPA‑H mission objectives • Monitor and assess performer progress against defined technical milestones and quantitative performance metrics • Critically review complex scientific, engineering, and technical data using strong logical and analytical reasoning • Read, synthesize, and distill large volumes of information into concise, executive‑ready briefings for technical and non‑technical audiences • Support program execution through documentation, internal reporting, and coordination across multidisciplinary teams • Perform programmatic support tasks including data collection, analysis, and preparation of internal reports and briefings • Operate effectively both independently and as part of an integrated team supporting ongoing ARPA‑H efforts • Travel within CONUS (~10–35%) to support program reviews, meetings, and stakeholder engagements

• Design and implement an ISO 13209-compliant OTX runtime, covering the full object model, deserializer, and type system. • Build a tree-walking interpreter for the OTX XML-based DSL, including AST design using sealed/algebraic data types. • Implement a variable scoping and parameter binding engine faithful to the OTX specification. • Develop the evaluator and executor pipeline, ensuring correct handling of procedural flows, conditions, loops, and exception handling as defined in ISO 13209-1/2. • Design and implement the OTX extension framework to support runtime-loadable extensions. • Handle streaming XML parsing with namespace resolution and xsi:type polymorphic deserialization. • Integrate the runtime with a D-Server layer: implement ODX parsing, service catalog management, and UDS request/response encoding and decoding. • Implement built-in OTX extensions including DiagCom adapter, PDU-to-J2534 adapter, and log:/file:/str:/ext:/flash:/even: extensions. • Develop diagnostic application logic targeting J2534 and D-PDU API (ISO 22900-2) diagnostic interfaces. • Support flash programming workflows across multiple OEM configurations. • Ship the runtime as a Kotlin Multiplatform (KMP) library targeting JVM and native platforms. • Write robust concurrent code using Kotlin Coroutines and Mutex primitives; debug and resolve production deadlocks. • Define and maintain a comprehensive test suite covering OTX conformance, edge cases in diagnostic protocol encoding, and runtime stability. • Participate in design reviews, contribute to internal documentation, and mentor team members on OTX and diagnostic protocol topics.

• Design, build, and scale our cloud-based lakehouse platform. • Own the end-to-end architecture of our data ecosystem on Databricks. • Partner with data science and analytics teams to productionize ML and analytical workloads. • Set the technical direction for ingestion, transformation, governance, and performance optimization across petabyte-scale datasets. • Write production code and mentor engineers. • Shape standards that the broader data organization will adopt.