In this role, the Developer Relations Manager will oversee technical engagements in various industries, driving the adoption of NVIDIA's technologies. Responsibilities include developing strategies for GPU adoption, establishing developer relationships, leading events, mentoring, and providing technical support to developers in South Asia.

The Senior Solutions Architect will support NVIDIA's NIC/DPU initiatives by collaborating with customers on networking applications and large-scale projects, ensuring customer satisfaction, addressing technical issues, and working closely with cross-functional teams to optimize environments.

As a Senior Manager of Compiler Verification, you will lead a diverse team across APAC and EU/UK to enhance compiler quality and efficiency. Your role involves creating team objectives, collaborating with other teams, and innovating in software verification. You will leverage your extensive experience in software development and testing to present strategic leadership and direction.

As a Senior Deep Learning Systems Software Engineer at NVIDIA, you will optimize deep learning workloads on GPUs, develop automation tools for workload analysis, and collaborate with teams to enhance application performance across cloud and hardware platforms. Responsibilities include performance benchmarking, identifying inefficiencies in application code, and providing expertise in cloud-native application optimizations.

The Senior Site Reliability Engineer (SRE) will design, build, and maintain large-scale systems for data science and ML applications, focusing on reliability, scalability, and performance. Responsibilities include developing automation, enhancing operational maturity, and implementing SRE principles to ensure system reliability and observability.

The Deep Learning Performance Architect at NVIDIA benchmarks and analyzes AI workloads, develops high-level simulators, and evaluates performance, power, and area for hardware features. They collaborate with architecture and product management teams and keep up with emerging trends in deep learning.

The Software Quality Assurance Engineer will validate products using systematic tests and develop quality standards. Responsibilities include executing test plans, analyzing test results, maintaining documentation, and consulting with development engineers to resolve issues. Strong experience in QA processes and effective communication skills are required.

You will develop, deploy, and maintain secure .NET Core web applications and services, manage containerized deployments with Docker, utilize SQL Server and Entity Framework for data access, implement GitLab CI/CD pipelines, and oversee infrastructure provisioning with Ansible while collaborating with cross-functional teams.

As a Senior Software Engineer at NVIDIA, you will architect and optimize low latency conversational AI systems, design dialog workflows, analyze system accuracies, collaborate on product improvements, and develop code and design documents, all while leveraging your extensive experience in speech technologies and LLM applications.

The Senior System Software Engineer will design, develop, optimize, debug, and maintain graphics and computing features for NVIDIA GPUs. Responsibilities include addressing customer issues, collaborating with internal teams, and documenting technical processes while ensuring a strong understanding of device drivers and PC architecture.

The Senior Site Reliability Engineer will create resilient deployment pipelines, automate testing and deployment processes, maintain high availability of infrastructure services, and collaborate with various engineering teams to enhance operational efficiency. Responsibilities include managing large-scale cloud systems, utilizing various industry-standard tools and monitoring systems, and mentoring team members.

The AI Developer Technology Engineer will study and develop deep learning techniques, optimize performance on GPU architectures, and collaborate with teams to influence new architectures and solutions for AI using GPUs.

As a CPU Infrastructure Verification Engineer, you will set up verification flows for large IP projects, improve continuous integration processes, and develop tools to streamline chip development, monitoring health through automated dashboards. You will also analyze performance bottlenecks and debug complex problems impacting the team.

Develop, test, and optimize GPU firmware while designing boot software solutions and collaborating with teams to enhance security and compliance. Improve software processes and work closely with hardware teams to innovate GPU technologies.

As a Senior Applications Software Engineer at NVIDIA, you will work on developing and optimizing the DRIVE software for autonomous vehicles, focusing on application architecture, validation strategies, and hardware-software integration. You will collaborate with global teams to enhance the drivability and user experience of NVIDIA's autonomous driving solutions.

As a System Software Engineer, you will develop and validate software tools for next-generation graphics and computing products, collaborating with architecture and hardware teams. Your role involves assessing hardware features and providing efficient solutions based on operating systems, algorithms, and computer architecture.

As a Senior Site Reliability Engineer at NVIDIA, you will design and implement GPU compute clusters, optimize operations, troubleshoot system failures, and enhance researcher productivity through automation. You will also handle incident responses and maintain large scale GPU infrastructure while collaborating within a diverse team.

The role involves designing and developing a simulation environment for autonomous vehicles, collaborating with internal teams and external customers, building software for rendering and manipulating synthetic environments, and optimizing performance for self-driving technology.

The Systems Software Engineer at NVIDIA will develop and validate software for next-gen SOC platforms, debug issues related to memory, graphics, and display, and scope architecture requirements for new systems. Candidates should have a strong engineering background and be comfortable with low-level programming and hardware interactions.

Manage and lead the Software Quality Assurance team for NVIDIA's RTX and Studio product line. Develop and implement software testing strategies, collaborate with various teams, and drive a 'Zero Defect' goal. Utilize machine learning techniques for QA automation, create effective KPIs, and provide guidance and training to team members. Demonstrate strong problem-solving skills and continually improve testing methodologies.