Identify, Recruit, Build and Lead partnerships with the strategic ISV partners that drive the adoption of NVIDIA software and services offerings and alignment at the business, product, and engineering levels.
This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs!
Researching and crafting architecture solutions for chip-to-chip communication, optimizing for performance, area, power, security, and resiliency. Working with other design teams to define interfaces and flows between NVLink C2C blocks and the rest of the chip.
Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs. Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler.
Act as the technical point of contact for startups and developers building agentic, multi-modal applications—or adding AI agents to existing platforms.
Work on workload bring-up and performance analysis/projection, both on silicon and full-system simulator. Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles.
Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions.
Work closely with the architecture and different software and hardware design teams. Implement new features for NVIDIA NIC and Switch firmware. Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments.
Lead and develop a team of deep learning engineers delivering inference optimization and model enablement solutions for automotive and robotics customers.
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