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Develop and optimize GPU-accelerated algorithms for quantum circuit simulations, collaborating with various teams, and leading technical efforts.

The role involves resolving complex networking issues, collaborating with R&D teams, and supporting customers using NVIDIA's networking technologies. Responsibilities include software development and debugging, along with creating tools for analyzing problems in AI clusters.

The Senior Full Stack Software Engineer will design and develop scalable platforms for GPU clusters, ensuring reliability, performance, and efficient incident management across AI workloads.

Analyze and run HPC applications to improve performance, assist in GPU acceleration, advise engineering teams on optimization opportunities.

As a Senior Software Engineer, you will develop scalable GPU infrastructures, diagnose system failures, and enhance AI cluster performance with a strong focus on communication across teams.

The Senior Physical Design Engineer will lead full-flow chip design, optimize PPA, execute tapeout, and innovate design methodologies by collaborating across teams.

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

Lead the design and operation of large scale Kubernetes clusters, ensuring high availability and performance while supporting system lifecycle and reliability improvements.

Design and implement automation systems for managing GPU-accelerated Kubernetes runtime, focusing on scalability, reliability, and self-service tooling.

As a Senior ASIC Design Engineer, you will design high performance RTL, collaborate with teams, and analyze architectural trade-offs for ASICs and GPUs.