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The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.

Lead design and optimization of next-generation high-speed IOs (NVLink, NVLink-C2C), focusing on IO power management, power/performance modeling, interoperability, and deep debug across cross-functional teams to enable product bringup and release.

This role involves researching and optimizing applications for NVIDIA's computing platform, collaborating with customers and internal teams to enhance performance and design next-generation software and hardware.

Performs physical mask layout for mixed-signal circuits including PLLs, high-speed SerDes, ADCs, and ESD structures in submicron CMOS technologies. Collaborates with ASIC and mixed-signal engineers on VLSI integration, floor planning, custom layout, and design verification. Uses Cadence tools and verification flows, debugs DRC/LVS issues, customizes verification decks, and applies scripting skills in Perl, Python, and SKILL.

The role involves defining verification strategies, building infrastructure for SoC verification, and collaborating with various teams to meet project requirements.

Manage NVIDIA’s HPC compiler engineering team, overseeing compiler and performance engineers, setting objectives, mentoring leaders, improving development processes, and communicating team vision. Lead development of optimizing compilers supporting Python, C++, Fortran, OpenACC, and OpenMP, with emphasis on GPU code generation, compiler performance, and high-performance computing applications.

The role involves driving the adoption of NVIDIA Omniverse, collaborating with partners on technical solutions, and providing support to overcome integration challenges while engaging at all levels.

Develop production-grade integrations for NVIDIA Grove across AI frameworks including Dynamo, llm-d, Ray, and PyTorch. Build adapters, plugins, operators, runtime components, reference workflows, and developer tooling. Optimize distributed multi-node and multi-GPU training and inference, improve Kubernetes observability, define APIs, and troubleshoot containers, networking, scheduling, CUDA, and framework behavior. Collaborate with engineering teams and open-source communities to upstream maintainable changes and ensure compatibility across rapidly evolving dependencies.

Research and develop techniques to accelerate large-scale applications on advanced CPU platforms. Analyze and optimize database and analytics workloads for CPU performance, collaborate with internal and external experts, publish findings, and influence next-generation hardware/software design.

Lead the architecture and development direction of NVIDIA ALCHEMI and related AI software for chemistry and materials science. Design developer tools, APIs, and workflows; translate advances in machine learning, generative modeling, interatomic potentials, and quantum chemistry into product capabilities; coordinate researchers, engineers, product teams, partners, and customers; and represent NVIDIA at scientific and industry events.