> Markdown version of [/jobs/ext/2283317-senior-hardware-systems-engineer-lpu-platform-pathfinding](https://www.wearedevelopers.com/jobs/ext/2283317-senior-hardware-systems-engineer-lpu-platform-pathfinding). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Hardware Systems Engineer - LPU Platform Pathfinding - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Cloud Computing, Computer Engineering, Data Centers, Software Debugging, Firmware, Natural Language Processing, Performance Tuning, Rapid Prototyping Process, Signal Integrity, Systems Architecture, Physical Design - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Hardware-Systems-Engineer---LPU-Platforms_JR2014698 ## About the Role * Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience). * 8+ years of proven experience leading platform, system, or hardware engineering efforts from concept through delivery. * Broad system knowledge in electrical/power design, mechanical/thermal engineering, firmware integration, and performance tuning. * Experience in pathfinding, evaluating early designs and maturing them into real solutions. * Strong debugging and problem-solving skills across hardware and software boundaries. * Clear communication and the ability to align diverse engineering groups. * Exposure to large-scale AI platforms such as LPU, GPU, TPU, or custom accelerators. Ways to Stand Out from the Crowd: * Direct experience designing or validating LPU, GPU, or other accelerator systems, especially at rack or cluster scale. * Ownership of first-of-kind system designs, such as new power networks, liquid cooling, or optical interconnects. * Leadership in pathfinding or advanced development programs that shaped product direction. * Familiarity with hyperscale data center infrastructure, including cooling methods, facility power, and interconnect fabrics. * Strength in early bring-up, diagnostics, signal integrity, and rapid prototyping as well as participation in industry standards efforts or cross-company technical initiatives. ## Description As a Senior Hardware Systems Engineer, you will help build next-generation LPU (Language Processing Unit) platforms that support the most demanding AI workloads. You'll work with teams across the company to shape system architecture, solve complex challenges, and strengthen the hardware foundation for large-scale AI. We are committed to an inclusive, collaborative environment where people grow, contribute, and make an impact every day! What You Will Be Doing: * Drive hardware pathfinding for LPU platforms by leading early investigations into new architectures for power delivery, cooling, mechanical design, and high-bandwidth interconnects. * Guide system-level technical decisions that influence NVIDIA's LPU roadmap. * Work with silicon, architecture, data center, cloud, product, and manufacturing teams to deliver complete, production-ready systems. * Lead full-stack system debug, addressing electrical, mechanical, thermal, firmware, OS, and application behaviors. * Support program execution, tracking issues, driving root-cause analysis, and ensuring timely resolution. * Own interconnect and cooling architecture, including optical links, backplanes, power distribution, and cluster-level cooling systems. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Got AI ideas but no money? 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