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Define and evolve the technical approach for evaluating and improving open agent harnesses across frameworks, models, and benchmark environments.
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.
Build and own relationships across our Jetson ecosystem — ISVs, OEMs, ODMs, and robotics companies — and drive deep, sustained adoption of the Jetson SW stack.
Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
Lead and expand a group responsible for NVIDIA's global Compute Core Engineering Team. Recruit, mentor, and develop technical talent, encouraging a culture of ownership, collaboration, and innovation.
Sensitive Information Protection. Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.
You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and monitor. Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.
Work on design and implementation of significant parts of the compiler. Work on performance analysis and design/implementation of new optimizations. Partner with global compiler, GPU driver, architecture, and application teams to coordinate improvements and problem resolutions.
Work closely with the architecture and different software design teams. Implement new features in the core of Mellanox NIC firmware. Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
Negotiating all system, board, and chip needs on behalf of the SW development and QA teams. Driving hardware allocation, infrastructure, budgeting, and priority calls. Representing the Software organization at Go-To-Market meetings for the GPU segment.
Design, implement, validate, and ship performance-centric features and programming-model capabilities in the CUDA driver and runtime, writing maintainable, well-tested production C/C++.
We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center.
Work together with product, engineering, and business teams to gather and evaluate requirements for the SW & Services Monetization Program. Build, develop, and support solutions across the SAP Order-to-Cash (OTC) landscape and associated satellite systems.
Lead delivery of emerging sensing and imaging technologies into our Jetson BSP across drivers, algorithms, frameworks, agents, and skills.
Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends (such as rustc codegen backends and proc-macros) and Rust-native intermediate representation (IR) frameworks to compile standard Rust directly to high-performance CUDA PTX and…
NVIDIA · 14d ago
Develop CUDA Compute test plans and coordinate validation across PCIe high-performance computing GPUs, NVIDIA systems, OEM servers, GPU configurations, operating systems, driver modes, CUDA versions, and release stages.
Develop a programmatic strategy to grow NVIDIA’s expanding ISV and partner ecosystem. Collaborate with the Developer Relations team and put in place the promote and co-sell process after Dev Rels accelerate and integrate the NVIDIA stack into ISVs' platforms.
Drive adoption of NVIDIA software libraries, open models, SDKs, NIMs, blueprints, and frameworks across Hitachi business, product, and engineering groups.
Closely partner across engineering, marketing, and external partners to define and prioritize product features, enhancements, and innovations. Develop and communicate a clear product positioning for the laptop lineup.
Lead and grow globally distributed firmware teams and engineering managers. Own delivery from architecture and pre-silicon development through bring-up, production, and long-term support.
Work with Enterprise customers and internal sales and technical teams to identify and prioritize target end-to-end Physical AI solutions, including digital twins for factory planning, autonomous robotics (Isaac), and intelligent infrastructure (Metropolis) across industrial…
Elevate and prioritize the most promising NVIDIA DSX, AI Infrastructure, EDA, and semiconductor ecosystem providers based on their capacity to scale, attract capital, and drive sustained sales offtake, while ensuring alignment with NVIDIA’s strategic priorities.
Define the long-range technical strategy for operating DGX Cloud clusters consistently across local data centers, hyperscalers, and NeoCloud environments.
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