Senior Asic Front End Infrastructure Engineer jobs at Nvidia
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06.05.2025
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Nvidia Senior Deep Learning Performance Architect United States, Texas
Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability. Benchmark and analyze AI workloads in single and multi-node configurations. Develop...
Masters or PhD or equivalent experience. 6+ years in Computer Science, Computer Engineering, or related field. Ability to work in a fast-paced, agile team environment. Excellent Rust/Python / C++ programming...
Lead initiatives to transform IT Infrastructure platform architecture and services On-Prem for modern AI workloads and AI semi conductor and software development. Collaborate with partners to design architecture, Build &...
Developing scalable CAD solutions for a dynamic roadmap. Employ good software engineering practices to develop efficient EDA/CAD tools for chip development. Build flows and methodology around vendor EDA tools to...
Develop CAD software for high performance chip verification and related functions. Work with verification engineers on project verification support. Develop new methodologies to improve verification efficiency and capacity. Co-develop EDA...
In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications. Work directly with other technical experts in their fields(industry and academia)to perform in-depth...
Work on crafting creative Signal Integrity solutions to complex system design problems. System-level signal integrity simulations of high-speed NVlinks 200Gbs+, USB-4, PCIe5, GDDR6, LP5X. Modeling of vias, connectors, sockets and...
Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability. Benchmark and analyze AI workloads in single and multi-node configurations. Develop...
The senior ASIC front end infrastructure engineer position at NVIDIA is an opportunity to work with cutting-edge technology and have direct influence on the future of AI computing. As a part of the engineering team, you will collaborate with experts in the field of architecture design to develop hardware and software for high-performance computing. You will be responsible for delivering robust ASIC designs, backend physical implementation, synthesis, layout, and timing closure.
In this role, you will help maintain the ASIC development methodology by developing scripts to support design requirements. You will debug designs, create synthesis script, and validate that the designs meet all specs. During the complete design cycle, you will partner closely with engineering teams in Architecture Design and Physical Design, System Integration, Verification, and Software. Additionally, you will provide expertise for power, clock tree, and placement optimization.
At NVIDIA, you will be contributing to an innovative, team-oriented environment, with plenty of opportunities to work with the latest technology. The ideal candidate should have a strong background in ASIC front end design, specific to building high performance computing infrastructure. An understanding of full chip synthesis and physical implementation is essential. Familiarity with scripting languages such as TCL, shell, and Perl will be required.
We value a creative and technical mindset – if you are passionate about taking a new chip from its inception to its realization, this position at NVIDIA could be a great fit for you. Come join us to shape the future of AI computing.