As an AI Developer Technology Engineer at NVIDIA, you will research and develop innovative AI and machine learning techniques, work with customers on AI solutions, and collaborate with various teams to design cutting-edge architectures and software for GPU applications.

The role involves developing AI performance tools for large-scale systems, conducting performance studies, and automating performance analysis for optimization.

Lead the design and development of NVIDIA's Assembler and Disassembler. Collaborate with teams for compatibility and innovation, requiring low-level systems expertise.

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

Coordinate import and export compliance activities, ensure adherence to customs and trade regulations, manage crucial documentation, and maintain audit readiness.

Develop automation for Kubernetes clusters, manage network protocols, and collaborate with R&D teams in a fast-paced environment.

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

The Senior System Software Engineer will develop optimized software for video subsystems, ensuring compliance with safety standards and enhancing performance through data-driven technical choices.

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

As a Senior System Software Engineer, you'll develop automation tools and infrastructure for Windows while supporting next-gen RTX GPUs and enhancing CI/CD pipelines.

The role involves designing and implementing automated tests with AI technologies, developing tools in Python/C/C++, and enhancing software testing workflows. Responsibilities include debugging, code reviews, and collaborating with the team.

Manage eDiscovery IT infrastructure and tools, support legal compliance, and ensure data management for investigations and litigation while collaborating with IT teams.

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

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

The SWQA Tools Development Engineer will test software/hardware features, integrate automation tools, and develop solutions to enhance productivity and quality in certification processes.

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

The role involves developing and improving RAN algorithms for 5G/6G networks, focusing on AI/ML technologies, system simulations, and performance optimizations. Requires collaboration with customers and partners.

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 software for autonomous driving cars focusing on video algorithms, image processing, and video streaming. Collaborate on core technologies and pipeline building while enhancing visualization using deep neural networks.

The role involves troubleshooting customer software issues, developing tools for DGX Platform Software, and enhancing system diagnostics and networking software.