Jobs at NVIDIA

Lead and build a QA and Test Development team for NVIDIA's GPU cloud computing, focusing on developing test plans and automation, improving quality, and using AI for efficiency.

Work with developers and researchers to build, fine-tune, benchmark, and optimize AI models and agentic workflows for chemistry and materials discovery using NVIDIA GPU technologies; collaborate with partners, present at workshops, and drive adoption of NVIDIA ALCHEMI.

NVIDIA seeks a Senior Software and System Architect to lead cloud-networking architecture, design cutting-edge system architecture for DPUs & NICs, and coordinate with global teams.

The Senior Deep Learning Engineer will optimize and deploy models for high-performance inference on GPU platforms while improving inference speed and analyzing workloads.

The Dataflow Development Engineer at NVIDIA develops dataflow systems at the hardware-software boundary, enhancing FPGA-based pipelines and host drivers for improved performance and efficiency.

Manage GSI relationships in EMEA, define strategies for AI services, enhance developer skills, and coordinate between teams for business goals.

Lead the AI Edge and Embedded business strategy in EMEA, driving growth, expanding partnerships, and mentoring a high-performing team to achieve ambitious goals.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

Manage business relationships with GSIs in EMEA, focusing on AI-enabled services and program development partnering with NVIDIA solution architects. Drive sales strategies, track progress, and foster collaboration among teams.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

The role involves managing customer support for HPC technologies, resolving technical issues, and collaborating with engineering and support teams for improved customer experiences.

The role involves leading developer relations in the capital markets sector, collaborating with technical teams, and driving engagement through technical enablement and community building.

Analyze and optimize HPC applications on servers, providing insights for compiler development and application engineering teams, facilitating GPU acceleration.

Responsible for developing and optimizing NVIDIA's AI platform, especially using JAX. Involves designing core components, collaborating with researchers, and enhancing efficiency in AI solutions.