Develop and optimize timing sign-off flows and metrics for custom macro design, validating timing with advanced simulations and analyzing performance for GPUs and SoCs.

Research and develop techniques to accelerate application workloads on NVIDIA's hardware, optimize performance, and collaborate with teams to influence design.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Lead system bringup for GPU-centric server platforms, design workflows, collaborate with teams, troubleshoot issues, and optimize firmware and tools.

Develop scalable C++ software for data center management under Linux, manage builds, CI/CD processes, and support users with software improvements.

Design and build software tools and infrastructure to validate and stress next-generation GPUs and compute servers. Collaborate with architecture, hardware, and driver teams to architect diagnostics using pre-beta CUDA and Vulkan, exercise compute/graphics units, and apply OS, algorithm, and computer-architecture expertise for robust hardware validation.

The role involves designing and implementing motion planning and vehicle control systems for autonomous vehicles, ensuring safety and performance in complex scenarios while developing algorithms and evaluation metrics.

The Firmware Engineer designs and implements firmware for the memory subsystem, optimizing performance and debugging hardware/software issues while collaborating with cross-disciplinary teams.

Verify GPUs by testing unit levels and contributing to verification methodologies. Collaborate with architecture teams to refine microarchitecture and support validation.

Design and model GPU components, define IP boundaries, develop testing infrastructure, and document architectural decisions while collaborating with cross-functional teams.

The System Debug Lead Engineer will analyze and resolve complex system-level issues across hardware and firmware, collaborating with multidisciplinary teams and developing tools for debugging.

The Networking Architect will develop next-generation networking solutions for AI, focusing on ASIC design, algorithms, and partnerships.

The Product Marketing Manager will develop go-to-market plans, drive product launches, craft marketing content, engage with developers, and conduct market analysis for robotics technologies.

The role involves deploying AI hardware and software solutions in data centers, advising customers, guiding product features, and troubleshooting systems.

Develop technical marketing content for NVIDIA's CAE applications, communicate at trade shows, and collaborate with teams to improve products.

Develop and deploy software storage management systems, collaborating with engineering teams to enhance workflow efficiency and quality for NVIDIA's products.

Develop automated CI/CD and debugging tools, integrate OEM software, and collaborate across teams to ensure platform readiness and stability.

The Global Business Development Manager will drive NVIDIA software adoption by collaborating with Cisco to integrate products, build advocacy, and support marketing efforts.

Lead modernization of accounting systems, manage transformation projects, ensure compliance with SOX, and streamline financial processes. Collaborate with cross-functional teams to optimize accounting operations using advanced technologies.

The Research Scientist will develop innovative AI accelerator co-design methods, conduct advanced ML accelerator research, collaborate on testchips, and present findings at conferences.