NVIDIA is an industry leader in artificial intelligence computing, harnessing the power of GPUs to transform industries and drive advancements in fields such as self-driving cars, healthcare, and gaming. Our Silicon Co-design Group is at the forefront of building innovative semiconductor solutions that deliver exceptional performance and efficiency. We are currently seeking a Circuit Design Engineer who will be instrumental in developing and optimizing our circuit designs in high-performance applications. This role will present exciting challenges, allowing the right candidate to collaborate with a diverse team of experts and contribute to cutting-edge technology.
What you will be doing:
Design and implement innovative noise reduction techniques for cutting-edge circuit designs, ensuring optimal performance and minimized interference.
Collaborate closely with cross-functional teams, including layout engineers and system architects, to integrate noise-aware methodologies into product designs.
Utilize advanced simulation tools to analyze circuit behavior under varying noise conditions, leveraging AI to enhance predictive capabilities and performance metrics.
Participate in the development and refinement of design guidelines that incorporate machine learning insights for circuit optimization and noise management.
Continuously explore and implement novel approaches, including AI-driven methodologies, to solve complex design challenges, enhancing overall design quality and efficiency.
Contribute to documentation and knowledge sharing activities that promote the use of AI techniques among engineering teams.
What we need to see:
MS in EE, CE, Systems Engineering (or equivalent experience)
4+ years of experience in a related hardware engineering position, particular exposed/related to silicon perf, power, timing closure, reliability, electromigration closure etc
Proficient in using EDA tools for circuit design and simulation (e.g., Spectre, HSPICE).
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms, BIOS, drivers, and software applications.
Previous experience with silicon bringup, frequency and power characterization, PPA in PreSilicon or PostSilicon phases, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ).
[AI skillset]: Ability to use AI-driven tools for circuit simulation and design optimization.
[AI skillset]: Utilize data analysis and machine learning to identify noise sources and explore reduction techniques.
[AI skillset]: Use AI tools to automate design tasks and optimize layouts.
[AI skillset]: Leverage AI for generating documentation and facilitating team knowledge sharing.
[AI skillset]: Strong judgment to validate AI-generated results for accurate design decisions
Ways to stand out from the crowd:
Experience in advanced noise analysis techniques or technologies such as deep learning for circuit
Familiarity with mixed-signal designs and testing methodologies
Publications or patents related to noise reduction in circuits or innovative circuit design.
If you are energized by hard problems, real ownership, deep work, and AI-enabled engineering at scale, we'd love to talk to you.