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Design and develop a C++-based system to simplify and accelerate computing for unstructured sparsity in DL and HPC on NVIDIA GPUs. Enable the system in languages and frameworks that are more commonly used in DL, such as Python and PyTorch.
Analyze hardware/software feature sets for next generation GPU and SoC performance tools. Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
Lead technical developer engagement with strategic autonomous vehicle partners, including OEMs, Tier 1 suppliers, startups, ISVs, and research organizations.
Review board designs and collaborate with other design engineers on product solutions. Collaborate with cross-functional teams to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
Collaborate with key OEM partners to lead full platform integration and adapt our technology to OEM solutions.
Help create and deploy NVIDIA’s reference AI Super Computer datacenter designs at ODM partners. Collaborate with internal server AI Product design teams on next generation projects and product roadmaps.
Evaluate usability, performance, and developer experience across NVIDIA networking (Ethernet/InfiniBand, DPUs/SmartNICs, software). Identify gaps and influence roadmaps. Build and run clear, repeatable benchmarks and create competitive analyses.
Develop and execute validation test plans for server platforms and modules. Perform electrical and functional validation of key interfaces and components, including power sensors, MCUs, I2C, SPI, SMBus, and PCIe.
We are seeking a Technical Product Marketing Manager to drive awareness and adoption of NVIDIA Isaac for Healthcare, our developer framework for healthcare robotics, and simulation technologies built on NVIDIA Omniverse.
Working with other architects to define architectural modeling and testing requirements for new NVLink features. Driving architectural testing requirements into lower level testbenches.
Define and drive the overall test engineering strategy for our robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a…
In this role, responsibilities will include back-porting changes from the mainline branch, keeping track of open source dependency changes, and ensuring the latest stable dependencies are being used for our enterprise products.
Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects.
Lead and drive the creation of validation test plan and test scripts for DDR I/O associated with LPDDR, GDDR, and HBM memory interfaces, ensuring all necessary required analog and digital circuits are covered.
Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.
Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
Develop and maintain deep technical expertise in 6G, AI-native RAN, and wireless research.
Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures.
Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams.
Looking at various processes within the Robotics industry to see how our technology can help benefit the industry and our customers. How to enhance these existing industry workflows by integrating the Omniverse platform. Provide feedback to engineering & product teams.
Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems.
As a senior team member, you will collaborate closely with other System/Software Architects, Power Integrity /Packaging experts and Product and Process engineers to understand product challenges and quantify energy efficiency improvements of integrated power delivery solutions.
Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light. Participate in the full life-cycle of tool development, test, and deployment.
NVIDIA is seeking a highly influential Generative AI Technical Engagement Lead to evangelize for, drive, and support the seamless adoption and accelerate the performance of NVIDIA's accelerated computing stack across critical AI model development initiatives with leading AI…
US, USA