Lead a team developing Windows kernel drivers, ensuring quality and delivery while promoting process improvements, mentoring engineers, and collaborating across teams.

Benchmark and analyze AI workloads, develop simulators, evaluate performance trade-offs, and collaborate with architecture teams on projects.

Design, develop, and optimize GPU firmware; collaborate with teams and enhance security for boot processes; improve software infrastructure.

Design and optimize audio-related system features for NVIDIA's next-gen computing platform, focusing on kernel-mode software and driver development.

The role involves building scalable automated security scanning platforms, developing APIs, and collaborating with teams to enhance developer efficiency and security in cloud environments.

The Network Operations Engineer will support and maintain NVIDIA's cloud network infrastructure, manage production incidents, and engage with vendors.

Develop and optimize system software for NVIDIA AI Multimedia components, collaborate with teams, and integrate computer vision SDKs across platforms.

Develop and validate software for NVIDIA's next-gen SOC platform. Debug memory and hardware issues, collaborate cross-functionally, and support new hardware validation.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

Design, develop, and tune optimizing compilers for NVIDIA's Grace CPU, focusing on performance for AI and HPC workloads alongside a distributed team.

The Senior Site Reliability Engineer will focus on architecting and operationalizing secure identity and access platforms, integrating automation, and leading incident management efforts within cloud-native environments.

The Engineer will manage production engineering tasks for NVIDIA's networking systems, leading quality investigations and providing onsite engineering support.

The BSP Validation Engineer will develop and execute validation strategies, automate test cases, triage issues, and integrate components for BSP packages while leading validation efforts for new products.

Develop and optimize video pipelines for GPU acceleration, innovate features for video quality and performance, and contribute to team processes.

The Senior Compute System Software Engineer will design and develop software for NVIDIA's next generation Compute GPU solutions, focusing on low-level device drivers and embedded software for Data Center products, collaborating with global teams and ensuring optimal performance.

The DevOps and Automation Engineer will build and maintain CI/CD pipelines, design automation workflows, manage GPU clusters, and troubleshoot distributed infrastructure issues.

Drive multiple releases in collaboration with global engineering teams while ensuring quality. Solve ambiguous problems and manage customer feedback. Lead planning, communication, and improvements across products.

Develop and maintain kernel mode drivers for NVIDIA's GPUs, improve software through debugging, and collaborate with global engineers on complex visual computing challenges.

As a Senior AI and ML Engineer at NVIDIA, you'll build insights into AI tools, develop testing environments, and automate workflows, enhancing productivity for software development and DevOps.

The role involves developing GPU system software, debugging complex issues, designing kernel drivers for Linux, influencing hardware architecture, and working with a multi-site team.