Seeking a Senior Systems Software Engineer to develop kernel mode drivers for NVIDIA GPUs on Linux, improve software, and collaborate globally.

The Senior Network Engineer will design, implement, and optimize network solutions, lead projects, mentor team members, and solve complex networking issues.

Develop test strategies and automated test cases for robotics applications, ensuring software quality in AI-driven robotics. Collaborate with diverse teams and analyze product requirements.

The Senior Tools Development Engineer will design, implement, and automate tests for APIs and enhance testing capabilities using innovative tools and analytics.

Lead an engineering team in designing and developing Nvidia's Applied AI solutions for smart cities, healthcare, and industry while managing projects and collaborating with various teams.

The role involves optimizing deep learning workloads, building analysis tools, and collaborating on cloud application performance on GPU architectures.

Design and maintain production systems for data science and ML applications, ensuring reliability, scalability, and performance while applying SRE principles.

The role involves benchmarking AI workloads, developing high-level simulators, evaluating performance metrics, and collaborating with architecture teams to analyze trade-offs. Candidates should have a strong background in parallel computing and deep learning applications.

The Software QA Engineer will validate products through systematic testing, develop and execute test plans, analyze results, consult with engineers, and ensure software quality throughout development.

The Web Application Developer will create and maintain .NET Core services, manage CI/CD pipelines, and ensure application scalability and security.

The Senior Software Engineer will architect and optimize conversational AI systems using advanced speech and LLM technologies, collaborate with teams, and enhance existing products.

As a Senior System Software Engineer at NVIDIA, you will design, develop and optimize software for GPU virtualization, collaborate with cross-functional teams, and resolve customer issues involving next-generation GPUs.

Responsible for creating scalable deployment pipelines, automating operations, maintaining high availability, and collaborating with teams to optimize infrastructure and services.

The AI Developer Technology Engineer will develop advanced techniques in deep learning and collaborate with customers to provide optimal AI solutions using GPUs, while influencing future GPU architecture design.

Develop and improve verification flows for NVIDIA's CPU design, enhance CI processes, automate metrics monitoring, and debug performance issues.

Develop and optimize GPU firmware, ensuring security and functionality. Collaborate with teams on boot software and align on security requirements.

Develop and productize NVIDIA's DRIVE software for autonomous vehicles, focusing on application architecture, integration, and validation strategies.

Develop and validate next-gen graphics and computing products by creating software tools and solutions based on OS and hardware architecture. Collaborate with various teams on product development.

As a Senior Site Reliability Engineer, you'll design and maintain GPU clusters for AI research, optimize operations, and ensure system reliability while enhancing productivity through automation.

Develop and enhance a simulation environment for autonomous vehicles by designing, building, and debugging simulation frameworks including physics and traffic modeling.