Search the 231 jobs at NVIDIA

Leading the design and implementation of data platforms, enabling self-service and Machine Learning platforms, building ETL frameworks, and optimizing streaming pipelines for real-time analytics. Requires Bachelor's or Master's degree in Computer Science, 8+ years of experience, proficiency in Python and various data technologies.

Design and develop web-based applications, collaborate with the team to solve technical problems, maintain and enhance web applications, test and debug for optimal performance.

Looking for a Manager, Technical Product Management with strong system knowledge and leadership skills to drive NVIDIA's product portfolio in CUDA Inferencing and embedded opportunities. Responsible for defining product roadmaps, engaging with key partners, and leading product features to the market.

Craft and develop high-quality user interface for AI platform using HTML5, CSS/LESS, NodeJS, and React. Collaborate with UX/UI designers, integrate frontend with service APIs, ensure technical feasibility of UI/UX designs, and optimize performance.

Seeking a Senior ASIC Design Engineer to join NVIDIA's clocks team, responsible for designing high frequency clocks for GPUs and CPUs. Responsibilities include collaborating with architects and verification engineers, designing clocking structures, debugging silicon bugs, and proposing design improvements. Requires BS in Electrical Engineering, 3+ years of experience, strong coding skills in Perl, and knowledge of sub-micron silicon issues.

Join NVIDIA as a Failure Analysis Engineer in Santa Clara, CA. Responsibilities include coordinating Electrical and Physical Failure Analysis efforts, utilizing EFA tools, collaborating with cross-functional teams, and driving continuous improvement initiatives. Requires a Master's degree in electronics or related field, 8-10 years of experience in Failure Analysis, and proficiency in various technical areas. Competitive salary range of $136,000 - $253,000 USD per year with additional benefits and equity opportunities.

Build, validate, and support manufacturing test programs for GPU products. Work with different teams to resolve test program issues, drive process improvements, and automate tasks. Requires strong Python skills, experience in silicon manufacturing, and knowledge of embedded platforms.

Join NVIDIA's Enterprise AI & Automation team to drive the development of AI-powered employee productivity solutions. Envision and implement AI technologies for business functions including sales, HR, and finance. Define business outcomes, collaborate with partners, and lead product deployments using AI models and technologies. Ideal candidate will have a Bachelor's degree, 10+ years of technical product management experience, and expertise in AI and Machine Learning.

Lead the effort to establish and achieve revenue targets, opportunity pipelines, enabling OEM sales channels, and developing customer solutions and messaging for Visualization, Compute, Data Science, & Analytics business solutions with Dell Technologies. Drive revenue through various strategies, influence sales management, empower sales team through targeted training and education, and craft sales direction to achieve revenue objectives. Develop sales programs, forecast revenue, build relationships with Dell sales, and coordinate alignment between NVIDIA & Dell Team global account managers.

Join the dynamic and innovative CUDA Compiler team as a GPU Compute Compiler Engineer. Contribute to compiler capabilities for high performance parallel applications on NVIDIA's next-gen GPUs. Design and implement enhancements to the CUDA C++ compiler, collaborate on language evolution, and support customer releases. Pursuing MS or PhD in Computer Science required with deep understanding of compiler technology and C++. Strong communication and programming skills essential.

Seeking a Workday HCM Functional Systems analyst with expertise in Core HCM, Compensation, and Absence Management. Responsible for day-to-day support, development, and configuration of HR systems. Collaborate with internal partners to provide innovative HR solutions and enhance user experience. Must have a Bachelor's Degree and 3+ years of experience in application requirements gathering and design.

Design and architect a platform for automating GPU asset provisioning and management across cloud providers. Implement monitoring and health management capabilities for GPU assets to ensure reliability and scalability. Collaborate with engineering teams to integrate software seamlessly across hardware and AI training applications.

As a Senior ASIC Design Engineer at NVIDIA, you will collaborate with architects, designers, and engineers to design high-frequency clocks for SOC. You will work on clock design, verification, and implementation for new products, utilizing skills in Verilog, System Verilog, and Perl. The role includes collaborating with various teams and contributing to the development of cutting-edge AI technology.

Seeking software engineers to work on next-generation graphics and computing products. Responsibilities include crafting software tools, assessing new hardware features, and providing robust solutions for next generation processors.

Seeking a Senior System Software Engineer to join the GPU System Perf and Power Management Software team at NVIDIA. Responsibilities include defining, designing, and developing GPU system software components with a focus on power and performance.

Seeking a Senior ASIC Design Verification Engineer to drive sign-off strategies for GPUs and SoCs. Responsibilities include unit and system level verification using advanced tools and methodologies. Requirements include 5+ years' experience in unit/system level verification, proficiency in System Verilog, Verilog, UVM, and strong debugging skills.

Develop innovative hardware, GPU, and system designs to extend performance and efficiency. Understand design and implementation, develop power metrics, and drive power reductions. Collaborate with interdisciplinary teams to achieve design targets.

Define and develop system-level methodologies and tools for building SOCs efficiently and scalably. Identify and address inefficiencies in the chip implementation process. Own front-end design quality checks and reviews for high-quality RTL.

NVIDIA is hiring a Senior DevOps Engineer to work on their HPC compiler team. Responsibilities include extending and optimizing infrastructure, designing and implementing efficiency improvements, driving automation, improving code quality, and collaborating with peers and leadership to solve business needs.

Seeking a Principal Engineer with deep knowledge of P4 language, compiler technology, optimizations, networking protocols, and hardware design to lead compiler optimizations and enable datacenter scale deployment of NVIDIA DPU's and Switches. Responsibilities include representing NVIDIA in the P4 standards org, developing proof-of-concept networking applications using P4, collaborating with cross-functional teams, and staying up-to-date with the latest developments in compiler technology and networking protocols.