Jobs at NVIDIA

As a Senior ASIC Verification Engineer at NVIDIA, you will verify GPU designs, develop verification infrastructure, and collaborate with cross-functional teams to ensure design correctness.

As a GPU Verification Engineer, you will verify ASIC designs of NVIDIA GPUs, define verification scope, develop test plans, and collaborate with teams.

Design and verify next-generation NVIDIA networking and GPU chips. Contribute to chip controller development, multi-discipline design and verification activities, and collaborate across teams to deliver high-speed communication silicon.

Design and develop firmware for NVLink switches and GPU firmware in pre-silicon environments. Drive end-to-end feature execution including integrations, co-simulation/co-emulation, and post-silicon work. Collaborate with architects, chip designers, and global R&D teams to debug systems, improve pre-silicon processes, and ensure HW/FW/SW integration and networking stack functionality.

Design, implement, test, and maintain routing and control-plane software (BGP, EVPN, OSPF, PIM, Segment Routing, etc.). Build programmatic interfaces/APIs, collaborate with QA and support on debugging/bug fixes, and work with YANG, SNMP, and telemetry. Contribute to and integrate with open-source routing suites such as Free Range Routing and leverage Linux networking and low-level forwarding knowledge.

Design and implement automation systems for managing GPU-accelerated Kubernetes runtime, focusing on scalability, reliability, and self-service tooling.

Lead technical engagements enabling advanced AI infrastructure and integrations. Provide architecture direction, prototype and validate solutions, own strategic programs, develop reference architectures, and share field learnings to inform product and engineering.

The role focuses on optimizing communication performance for deep learning systems, designing protocols, and collaborating on hardware/software integration while exploring innovative technologies.

You will deliver and verify Networking features, develop verification infrastructure, automate tests, and enhance product quality.

The QA Manager will lead the QA team, ensuring the highest quality for NVIDIA products through collaboration, automation, and mentoring team members.

The Senior Software Architect will design and implement communication technologies, improve performance for AI and HPC workloads, and lead innovative GPU communication solutions.

Seeking a Senior Solutions Architect to assist customers with AI solutions. Responsibilities include collaborating with partners, managing technical support, and developing infrastructure for AI projects.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

The Senior Circuit Design Engineer will improve netlist and timing quality in deep submicron technologies, collaborate on circuit design, and mentor junior engineers.

Responsible for CPU performance verification, including performance analysis, developing benchmarks, and providing guidance to junior engineers in a dynamic technology-focused environment.

The EDA Methodology Architect will define the RTL2GDS flow, collaborate on optimizing designs, analyze performance issues, and drive new methodologies across teams.

The role involves architecting and developing network acceleration technologies, collaborating with teams, and engaging with customers to design software solutions.

The role involves researching and designing communication technologies for HPC and Deep Learning, collaborating with multiple teams to ensure integration and performance optimization.

As a Developer Relations Manager, you'll build relationships with partners, support developers, provide technical guidance, and drive AI product adoption.

Design and develop custom SRAM circuits focusing on performance analysis, verification, and collaboration within cross-functional teams while utilizing advanced design tools and methodologies.