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Within the Firmware Center of Excellence, we’re looking for a customer-focused, hands-on Principal Software Development Engineer (SDE) to help us develop a suite of system validation and diagnostic tests running on Microsoft’s next generation Azure AI Accelerator SoC. You will be working on the latest state-of-the art technologies, in a fun environment with a talented group of individuals with diverse backgrounds and skillsets and located in different geographic locations.
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As the Accelerator Program Associate, your focus is on program operations and the execution of the Techstars playbook to enable the delivery of value-driving programming and the best possible experience for founders, mentors, partners, investors, and other network stakeholders.
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Excellent knowledge in one or more programming languages (e.g., Python, Java, C#, Kotlin, Rust). Knowledge of front-end web programming, such as HTML, CSS, Node.js, TypeScript, Bootstrap, and React, with ability to render server-side and client-side content.
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Accelerator (GPU/ASIC) kernel development and optimization. Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.
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Experience with parallel computing, GPU/CUDA, DSP, and OpenCL programming is a plus. Research and optimize model compression and quantization technique for Kneron AI accelerator and jointly optimize hardware architecture for compressed model.
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PLC programming experience, including formal training in Allen-Bradley networks, ladder logic, and PanelView interface control. Knowledge of particle accelerator interlock systems. Provide maintenance support for major personnel and equipment protection systems and alarms at the LANSCE Accelerator Facility.
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Designing and leading NERSC’s strategic engagement with other math library and tool developers for supporting community development of applied mathematics libraries, including performance optimizations on advanced hardware such as Graphics Processing Unit (GPU) accelerator utilizing advanced programming models for expressing parallel data structures of relevance for applied math.
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As an employee-owned company, the total compensation for this position will include Stock Options and eligibility for the Utilization, VP Accelerator and Profit-Sharing bonus programs. Must be a US Person - U.S. citizen, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum.
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SCHIEDevelop components of firmware including, but not limited to, memory/PCIe training, PHY programming, die-to-die interconnect & error injection capabilities. We are looking to develop custom silicon and SoCs to deploy in Azure and with this position our focus is on the Microsoft Azure AI Accelerator (MAIA) roadmap.
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Programming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo) Work in a distributed computing setting to optimize for both scale-up (multi-accelerator) and scale-out (multi-node) systems.
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Participate in development of Software applications involving medical linear accelerator. Experience with programming languages such as C#, Java, JavaScript, Python etc. At Varian, a Siemens Healthineers Company, we bring together the world's best talent to realize our vision of a world without fear of cancer.
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We build state-of-the-art AI compilers and design new AI programming abstractions for Microsoft’s next-generation supercomputers and the new Maia-100 AI accelerator. Our inter-disciplinary team operates at the intersection of compiler engineering, programming language design, algorithmic innovation, AI, and high-performance computing.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Python, and experience with CUDA or other parallel programming models. We are seeking a proficient Machine Learning Kernel Engineer to join our team and contribute to the development of cutting-edge accelerator kernels and templates for machine learning applications.
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Collaboration and Leadership: Work closely with cross-functional teams, including hardware engineers and Machine Learning researchers, to ensure seamless integration of accelerator kernels. Accelerator Kernel Development: Design and implement efficient accelerator kernels and templates to optimize machine learning algorithms.
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The Accelerator Operations and Technology Division is seeking an Engineered Systems Tec 2 / 3 for the Accelerator Operations Group. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
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