The Senior Cybersecurity Architect will shape NVIDIA's enterprise security architecture, support design and maintenance of security capabilities, and provide leadership on secure solutions aligned with business objectives.

The Senior System Software Engineer will design and maintain AWS infrastructure, optimize Kubernetes clusters, automate CI/CD workflows, and enhance cloud security and observability while collaborating with teams.

Design and build high-performance optimization frameworks for the CUDA ecosystem, collaborating on innovative workflows and compiler-driven solutions for AI workloads.

The Capacity Operations Manager will orchestrate HPC cluster build-outs, manage GPU capacity, analyze resource needs, develop data models, optimize resource usage, align cloud management with company goals, and lead budget-based planning.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Lead engineering and data teams to develop algorithms for autonomous vehicles, ensuring high-quality data delivery and operational efficiency.

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

As a Robotics Research Intern, you will design and implement innovative robotics methods, collaborate with teams, and contribute to prototypes and research publications.

The Senior Software Engineer will design, develop, and support innovative networking solutions, collaborating with cross-functional teams and customers to drive product success.

Develop and optimize compilers for high-performance computing, implement parallel languages, and collaborate with peers on compiler designs.

This role involves designing and building a next-generation observability platform for large-scale AI and HPC workloads, optimizing telemetry data pipelines, and developing analytics for real-time insights.

Develop scalable software for map downloads in autonomous vehicles, collaborating on data formats, ensuring integration with vehicles, and writing safe embedded software.

The Senior Solutions Architect will design and support AI infrastructure using NVIDIA GPUs, engage with technical stakeholders, and ensure successful implementation of solutions to enhance customer satisfaction.

As a Deep Learning Compiler Engineer, you'll analyze deep learning networks, develop optimization algorithms, and collaborate on performance improvements for NVIDIA's deep learning software.

Design and implement protocols and algorithms for high performance computing systems, focusing on performance optimization and collaboration with hardware teams.

Design and build scalable AI infrastructure, improve architecture and performance, collaborate with teams, and contribute to advancements in AI technologies.

The role involves developing networking solutions, conducting technical meetings, and collaborating with customers to drive AI hardware implementations.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Lead the design and integration of quantum-classical systems, collaborate on technical requirements, and drive innovations for fault-tolerant quantum computing.

The role involves defining architecture for NVLink Fusion, collaborating with customers, mentoring teams, and managing software abstraction layers.