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Game Performance optimization, Linux Kernel, KVM Hypervisor, System Software & optimization at scale. Understand and apply gaming workloads, streaming software for kernel and user space interactions. Bridge the gap between software and hardware for a cloud streaming service.
Own the inference performance roadmap. Set direction across the stack: how models are represented, how memory and state are managed, how requests are scheduled and served, and how tokens get generated. The techniques change fast.
Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow).
Build and deliver innovative Metropolis AI solutions powered by Cosmos world foundation models, addressing real-world requirements in intelligent video analytics, perception, and physical AI.
Build the team and the function. Hire and develop a team of five inventory control specialists spanning Factory, Fulfillment, Logistics, OSAT, and Service categories. Establish the continuous control monitoring system they manage.
Design, implement, and institutionalize the integration readiness process for all next-generation datacenter board products — owning manufacturing and test readiness end to end so build starts land on schedule and at target yield.
NVIDIA · 14d ago
In this role, you will prototype and integrate novel approaches to GPU-accelerated distributed data processing domains: dataframe analytics, high-throughput low-latency advanced lossless and lossy compression methods, transactional and vector databases.
Develop high performance software to enable design and development of efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning. Create efficient parallel graph traversal and graph analysis techniques.
Build and manage relationships with telecom operators, service providers, model builders, and ISVs — from initial alignment through launch and scale.
Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.
Lead the canonical DriveOS process architecture, terminology, roles and interfaces across engineering, program management, quality, functional safety, and cybersecurity.
Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph.
Build and implement power management policy in system software solutions for Tegra Automotive, Embedded, and Data Center platforms. Develop firmware for embedded and Datacenter SoCs with a focus on flawless power management.
Work with inference partners who build cutting-edge inference services, teach them the value of our stack and bring back product insights that benefit the whole industry.
Run large-scale SPICE simulations and STA experiments to model the impact of advanced technologies on chip timing. Develop STA and PNR flows and recommendations addressing aging, self-heating, thermal effects, IR drop, electro migration, and other advanced-node physical effects.
Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc. Installing and testing various systems OS, server firmware and SW stack.
In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct…
Build and maintain customer-ready Linux distributions, installation images (ISO), and software packages. Integrate NVIDIA software, drivers, and third-party components into Canonical Ubuntu and RHEL platforms.
Driving developer-centric product improvements for DSX by collecting and synthesizing technical feedback, system-level friction, and workflow requirements from AI practitioners, enterprise data platform teams, and open-source communities into DSX Product Management and Core…
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting. Manage Linux job/workload schedules and orchestration tools. Develop and maintain continuous integration and delivery pipelines.
Design best-in-class SRAM circuits using state-of-the-art technology processes. Optimize circuits for performance, area, and power. Collaborate with mask designers to craft high quality and dense pitch-matched layout. Verify functionality, electrical integrity, and robustness.
Stay at the forefront of technology trends in AI Infrastructure & Agentic AI, proposing new product concepts. Define detailed product architectures, including performance, scalability, interoperability, and datacenter deployment requirements.
Building simulation frameworks for training and evaluating robot foundation models on top of NVIDIA's Omniverse platform. Partner directly with research to design, implement, and evaluate novel algorithms for robot learning.
Be responsible for the verification of ASIC design, architecture, golden models and micro-architecture of High Speed I/O controllers, like Ethernet and NVLink, at IP/sub-system levels using advanced DV methodologies such as UVM.
US, USA
Canada, Canada