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Develop and maintain board support package components for SoC and GPU platforms, including bootloaders, device drivers, and kernels. Bring up new SoC and GPU architectures, solve product-level issues, and integrate BSPs with OEM platforms. Collaborate across hardware and software teams while contributing to operating-system-agnostic embedded solutions. The role requires expertise in embedded systems, SoC architecture, and BSP development, with UEFI and EC experience preferred.

The Mechanical Solution Engineer will design and develop robotic hardware systems, focusing on mechanisms and mechatronics, and collaborate on prototypes and analyses.

The Senior Software Architect will enhance NVIDIA’s GPU Networking for AI workloads, lead architectural designs, proof-of-concept developments, and evaluate new technologies. Requires deep expertise in systems architecture and a strong background in networking, virtualization, and storage.

The role involves architecting system-level performance and power management features, collaborating across teams to optimize product efficiency in datacenter and client products, and leveraging AI-driven techniques for validation and characterization.

Lead technical engagements to drive developer adoption of NVIDIA's AI technologies, collaborating with partners to integrate solutions and optimize workflows.

Lead development of a framework for robotic manipulation. Responsibilities include hardware-software co-design, data engineering for AI, sensor integration, and optimization of exoskeletal designs.

The Mechanical On-Site Engineer will represent NVIDIA at Foxconn, addressing mechanical issues on the production floor, conducting analyses, leading experiments, and ensuring quality during production runs.

This role involves design and verification of low power ASICs, focusing on power management solutions and collaborating with architecture and design teams.

Design and optimize custom SRAM circuits for NVIDIA AI and processor chips, balancing performance, area, and power. Supervise mask layout designers, verify functionality and electrical robustness, and improve automation, data collection, and analysis flows. The role requires SRAM and memory design expertise, scripting with Perl and Python, and collaboration with architecture and design teams. Familiarity with Cadence Virtuoso, SPICE simulation, waveform analysis, static timing, EM/IR analysis, and formal verification is advantageous.

Develops NVIDIA enterprise platform workflows, demos, technical content, videos, playbooks, and presentations to accelerate customer and partner adoption of GPU-enabled AI solutions. The role collaborates with OEMs and engineering teams, enables local AI development, and communicates technical use cases across manufacturing, AECO, and media and entertainment through customer briefings, events, and marketing collateral.