Search the 525 jobs at NVIDIA

As a Senior System Software Engineer on the DRIVE SIM Platform Software team at NVIDIA, you will design and develop AV simulation platforms, optimize workflows, and provide technical leadership. Your responsibilities include system integration, creating REST APIs, and improving performance in a collaborative environment.

As a Senior System Software Engineer at NVIDIA, you'll develop and support platform drivers for SOCs, build automation tools, and collaborate with OEM customers. Your role involves enhancing OS driver functions, dealing with complex systems, and participating in architecture and simulation for innovative products.

As a Hardware Performance Engineer at NVIDIA, you will model and analyze SoC solutions, optimize architectures, and evaluate performance improvements related to CPU/GPU and machine learning designs, working closely with customer workloads and cross-functional teams.

The Senior Product Manager will develop an understanding of datacenter workloads, especially for Large Language Models, address customer needs, and create product proposals. They will work cross-functionally to develop go-to-market plans and collaborate with sales teams for product positioning and collateral.

The Senior Software Engineer will develop and maintain platform services for telemetry data collection, ensuring data integrity and performance. Responsibilities include collaborating with teams, optimizing workflows, and implementing data quality checks while staying ahead in data engineering technologies.

As a Senior CI/CD Engineer, you will maintain and enhance software development infrastructure, collaborate on ambitious projects, develop CI/CD pipelines, manage branching strategies, and optimize software performance while addressing critical system software bugs.

Design, develop, and test key aspects of GPU kernel drivers and embedded firmware; collaborate with hardware and software teams; ensure safety and security compliance for various platforms including Linux, QNX, and Android.

As a Senior Photonic Device Designer at NVIDIA, you will develop integrated photonic devices, conduct chip layout design, evaluate and characterize circuits, and perform experiments. You will also respond to customer requests and implement measurement methodologies for device testing, all while working with cutting-edge technology in a collaborative team environment.

As a GPU/SOC system software engineer, you will design, implement, and debug kernel-mode software in the NVIDIA software stack, focusing on performance and robustness. You'll be involved in product development from design to production and collaborate with global teams on emulation and product hardening.

The Principal Engineer in AIOps will design, develop, and deploy AI-powered solutions for IT operations, working closely with engineers and data scientists. Responsibilities include applying AI techniques like machine learning and natural language processing to enhance IT infrastructure, leading product design and development, integrating AIOps tools, and ensuring customer satisfaction through effective collaboration.

As a Principal Software Engineer at NVIDIA, you will lead the development of visual AI software, invent and prototype tools and services, optimize production code for GPUs, and collaborate with research teams to advance computer vision technologies. Your role involves mentoring, project planning, and driving innovation in AI applications.

The Senior Solution Engineer will resolve escalated customer issues, develop features for solution engineering, enhance customer experience, and collaborate with engineering teams concerning NVIDIA’s network switch operating systems like SONiC and Cumulus Linux.

The Technical Marketing Engineer will accelerate the adoption of NVIDIA DGX Cloud by creating customer-facing content, collaborating with technical teams, and educating customers on the platform. Responsibilities include developing documentation, running training sessions, public speaking, and supporting events, while leveraging multiple cloud service technologies and AI solutions.

As a Senior Applied Engineer at NVIDIA, you will develop AI Graphics technologies for cutting-edge projects, collaborating with teams to create algorithms, optimize performance, and prototype new solutions. You will leverage your expertise in real-time rendering and graphics APIs while presenting your findings and innovations at conferences.

The Senior Compiler Engineer will lead the development of an SDK for NVIDIA's Programmable Vision Accelerator (PVA). Responsibilities include managing SDK releases, ensuring quality performance benchmarks, collaborating with various teams, and addressing technical risks. The role demands extensive experience in software development, particularly in compilers and associated tools.

As a Program Architect, you'll lead the adaptation of NVIDIA's DRIVE OS software for customers in the automotive sector, overseeing program ownership, high-level requirements, architecture, and design, while guiding a diverse team in addressing complex issues.

The role involves leading the design and deployment of software solutions, ensuring high performance and reliability while mentoring junior engineers. Responsibilities also include advocating best practices in software development and integrating innovative technologies.

The Senior Memory System Resiliency Architect will collaborate with design, product, and quality teams to ensure resiliency in memory systems. Responsibilities include defining DRAM testing methodologies, incorporating manufacturing learnings, and improving resiliency architecture for future products.

As a Senior RTL Analysis Methodology Engineer at NVIDIA, you will develop flows and methodologies for RTL analysis, focusing on Clock Domain Crossing (CDC) and Reset Domain Crossing (RDC). Responsibilities include tool evaluation, support, automation using AI, and writing technical documentation. The role requires deep knowledge in RTL analysis and proficiency in scripting languages and HDL.

As a Quality Prototyping Engineer at NVIDIA, you will develop validation strategies for GPU/CPU hardware features, automate test runs, gather and visualize data, and debug failures in systems and clusters. Your role is critical in enhancing system quality through effective feature prototyping.