As a Senior Verification Engineer at NVIDIA, you will create verification test benches and methodologies for complex automotive chips, collaborating with various teams to ensure robust unit verification.

Responsible for creating UVM based verification test benches for automotive chips, defining test plans, and ensuring robust design through collaboration.

Design and implement high-performance, low-power CPUs while collaborating with various engineering teams on architecture and design tasks.

The Software Reliability Engineer will focus on hardware reliability testing, develop automated test frameworks, and improve hardware and driver reliability through comprehensive testing and collaboration with teams.

Optimize and analyze performance of LLM models using various frameworks while collaborating with teams to implement innovative solutions.

Design and implement network management software for NVLink and InfiniBand networks, collaborating across teams to enhance performance and scalability.

Lead product marketing initiatives for NVIDIA's Autonomous Vehicles, engaging with customers, refining product roadmaps, and ensuring successful product launches.

As a Senior Networking FW Application Engineer at NVIDIA, you'll support supercomputers, collaborate with R&D teams, and address complex customer issues.

Drive revenue and pipeline growth for startups using NVIDIA products. Engage with startups to understand workloads and accelerate their success.

Design and implement software solutions across layers from application to firmware, focusing on high-performance computing and collaboration with various teams.

The role involves developing a highly optimized inference framework, working in dynamic environments on next-gen products in supercomputers and data centers.

As a Senior SMTA Engineer, you will enhance SMT processes, manage supplier quality, ensure operational readiness, and collaborate on new product designs for PCBA manufacturing.

As a Senior Memory Solution Engineer at NVIDIA, you will qualify alternate memories, collaborate with teams and vendors, validate memory subsystems, and create software tools.

The role involves developing innovative hardware architectures for AI, benchmarking AI workloads, and analyzing performance using C++ and Python.

Design, build, and maintain AI infrastructure for large-scale systems, ensuring reliability, performance, and continuous improvement in cloud environments.

The role involves verifying digital designs and implementing advanced methodologies for cutting-edge SerDes IPs, collaborating with architects and teams.

Responsible for developing and executing test plans for NVIDIA platforms, performing OS and server automation, driving root cause analysis, and managing bug lifecycle within an agile software team.

Join NVIDIA's Mixed-Signal CAD team to improve design efficiency and quality, develop solutions for design tools, and collaborate with global technology teams.

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

As a SONiC Software Engineer, you will develop automated test suites, work with CI systems, and enhance the SONiC Network OS based on customer feedback.