• Design high-quality prompts, system instructions, and tooling that make our LLM features accurate, safe, and cost-effective. • Own evaluation, prompt versioning, and continuous improvement. • Author, refactor, and chain prompts (system/tool/policy) for varied tasks. • Create offline/online evaluation harnesses (rubrics, golden sets, metrics). • Build prompt libraries with versioning, A/B testing, and telemetry. • Reduce hallucinations via verification, constrained decoding, and tool use. • Implement safety: jailbreak/prompt-injection tests, content policy checks, PII handling. • Partner with engineers to integrate prompts into production features.

• Designing instrumentation and control systems for Data Centers • Managing tasks including the Building Management System (BMS) design, specifications, and drawings • Selecting and specifying process instrumentation • Developing control system (BMS) sequences of operations • Conducting submittal reviews and field inspections • Task management • Communicating and coordinating with other engineering disciplines, teams, subconsultants, clients, vendors, and contractors

• Responsible for building the lifecycle of threat detection • Build use cases and write detection logic on security platforms • Build attack simulation scenarios and test detection logic effectiveness • Partner with engineering teams to develop detection technology • Collaborate with incident response teams to improve alert reliability

• 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.