• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software • Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering • Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications • Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM) • Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies • Foster a culture of technical excellence, open collaboration, and continuous innovation

• Lead cross-functional engineering teams to deliver scalable, high-quality software products. • Drive technical excellence, people development, execution, and operational excellence while working closely with Product, QA, Design, and Architecture teams.

• Lead and scale an engineering team responsible for CrowdStrike's global production infrastructure • Drive technical strategy for large-scale distributed systems supporting millions of security endpoints • Implement AI/ML solutions for predictive maintenance, anomaly detection, and automated remediation • Build and mentor a world-class team while establishing career development frameworks • Drive automation initiatives reducing manual operational overhead by thousands of hours annually • Establish SLAs, operational metrics, and incident response processes for global infrastructure reliability

• Serve as a full-stack developer to produce scalable software solutions. • Lead the design, development, testing, deployment, and support of new and existing software products, applications, services, and components for client-facing and proprietary platforms. • Drive the delivery of high-quality software solutions that align with business objectives, client needs, product strategy, and long-term technology goals. • Partner with product, business, architecture, QA, security, DevOps, and other cross-functional teams to translate business requirements into scalable, maintainable technical solutions. • Guide teams through Agile delivery practices, including short- and long-term planning, backlog alignment, sprint execution, demonstrations of working software, and delivery accountability. • Support the creation of Minimum Viable Products that deliver business value quickly while maintaining quality, scalability, and architectural integrity. • Serve as a technical leader and escalation point for complex development, integration, troubleshooting, testing, and debugging efforts. • Contribute to and help shape the technical roadmap for projects, products, and platforms, ensuring alignment with future customer and business needs. • Define and guide system, technical, and application architecture decisions that promote reuse, componentization, extensibility, maintainability, performance, and security. • Evaluate new platforms, programming languages, frameworks, tools, and software products to determine feasibility and value for incorporation into company solutions. • Maintain strong working knowledge across modern software development environments and technologies, including Java, C#, .NET/.NET Core, AWS, Azure, API integrations, RESTful services, structured and unstructured databases, web technologies, and JavaScript frameworks such as Angular, Vue, and React. • Oversee the execution of software engineering plans, development processes, standards, and documentation to ensure consistency, repeatability, and delivery discipline. • Ensure software solutions meet functional and non-functional requirements, including quality, security, stability, scalability, modifiability, performance, and data protection expectations. • Provide solutions and alternatives to resolve technical or delivery challenges that impact timelines, scalability, performance, production readiness, or implementation success. • Analyze code, architecture, and system behavior to identify causes of issues and guide corrective actions as needed. • Establish and monitor delivery metrics related to turnaround time, workload, rework, defects, test coverage, and team performance to support continuous improvement. • Stay informed on business initiatives, product objectives, infrastructure priorities, and development architecture considerations that influence engineering decisions. • Use data, user insights, and product feedback to identify opportunities, improve user experiences, and guide technical solutions that solve customer and business problems. • Run experiments on new and existing product features, evaluate results, and influence teams and leadership toward modern, effective engineering solutions. • Research emerging technologies, methodologies, and capability models to improve quality, predictability, delivery efficiency, and cost effectiveness. • Lead by example with a positive, growth-oriented mindset and a commitment to collaboration, accountability, and continuous improvement. • Mentor, coach, and develop software engineers, technical leads, PODs, and delivery teams to strengthen execution, technical capability, and overall performance. • Manage software service delivery for internal and external stakeholders, ensuring tasks, assignments, project activities, and timelines remain aligned with business priorities.