Jobs at NVIDIA

Develop high-performance processor and system architectures with a focus on GPU memory systems, improving efficiency and performance metrics while analyzing benchmarks and collaborating with partners.

The Senior Systems Software Engineer will develop and implement software for AI supercomputing infrastructure on Kubernetes, working on large-scale cloud deployments and automation workflows while collaborating with various technical teams.

The role involves designing and maintaining data pipelines for observability data, collaborating with teams, and ensuring data quality for analytical use cases.

The Software Engineer will design and implement solutions for GPU cluster operations, focusing on enhancing AI and ML infrastructure. This role includes supporting internal researchers and developing AIOps strategies.

Build and maintain systems for onboarding, preparing, and distributing games to GeForce NOW users. Develop, test, and operate highly available Windows-focused tooling and automation; diagnose platform issues; collaborate with partners to deliver optimized gaming experiences and write clear operational documentation.

As a Formal Verification Engineer, you'll verify GPU designs using formal techniques, develop test plans, debug RTL, and collaborate with teams.

The role involves developing and maintaining Linux graphics driver software for NVIDIA GPUs, ensuring performance and cross-platform functionality, and engineering dynamic binary translation solutions.

The role involves developing platform software utilizing open-source container runtimes and Kubernetes, enabling GPUs in container orchestrators, and collaborating with various teams at NVIDIA.

The role involves developing automation tools and frameworks, optimizing testing workflows, collaborating with diverse teams, and debugging software defects.

Design and implement ultra-low-latency cloud streaming networking and QoS algorithms, collaborate with data center and vendor partners, build network models and KPIs, analyze user experience metrics, and optimize routing and congestion control for real-time media.

The role involves developing chip requirements and architecture, aligning with industry standards, and conducting performance analysis of I/O interfaces to enhance future AI and graphics systems.

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Develop physical design methodologies for rail analysis and signoff, craft workflows for power and noise analysis, and provide creative solutions for IR analysis needed for NVIDIA chips.

As a Power Architect, you'll design GPU power features, collaborate with teams on power management strategies, and develop energy efficiency solutions using machine learning.

The engineer will manage integration and implementation of CPUs, GPUs, and SoCs, focusing on RTL integration, synthesis, and physical netlist checks.

Develop software features to improve system performance, design core virtualization features, and conduct WCET analysis for safety requirements.

Develop and advance GPU compute performance analysis tools across Linux, Windows, and embedded OSes. Design, implement, and verify profiler features, write reliable high-performance code, collaborate with internal/external teams, perform peer reviews, and document requirements and designs.

Develop physical design methodologies for graphics processors and SOCs, focusing on innovative solutions to PPA problems and ML-based development.

Lead architecture for communication libraries in AI, optimize performance on NVIDIA platforms, collaborate on hardware/software design, and create analytical models.

The role involves designing and developing firmware for Ethernet switches, collaborating with hardware teams, debugging, mentoring team members, and innovating new features.