Hardware Systems Engineer - LPU Platform Pathfinding

NVIDIA is hiring a Hardware Systems Engineer - LPU Platform Pathfinding in Santa Clara, United States. It pays $124k-$196k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Oscilloscopes, Logic Analysers and Cadence among its tools and skills.
Level classes it as a mid-level role.
NVIDIA has 2,600+ other open roles on Level.
Posted within the past week.

AI in this role

Contribute to hardware development and system-level pathfinding for next-generation AI and accelerator platforms.

oscilloscopeslogic-analyserscadenceorcadallegrolinux

hardware-engineeringsystems-engineeringcircuit-debugthermal-engineeringpower-delivery

NVIDIA is looking for a Hardware Systems Engineer to join our team and help build next-generation LPU platforms!

These platforms support the most fast-paced AI workloads. This is an outstanding opportunity to work on innovative technology that shapes the AI industry. You’ll collaborate with some of the brightest minds, contribute to system architecture, solve engineering challenges, and strengthen the hardware base for large-scale AI.

What you'll be doing:

Contributing to hardware development for LPU platforms, investigating architectures for power delivery, cooling, mechanical build, and high-bandwidth interconnects.
Supporting system-level technical decisions and trade-off analyses that influence NVIDIA’s LPU roadmap.
Working with silicon, architecture, data center, and manufacturing teams to help deliver production-ready systems.
Collaborating with vendors to debug issues and drive to resolution.
Conducting lab bring-up and hands-on hardware debugging, employing oscilloscopes, logic analyzers, and other bench instruments to analyze and resolve system behavior.
Assisting in full-stack system debug, addressing electrical, mechanical, thermal, firmware, and application-level issues.
Supporting program execution by tracking issues, contributing to root-cause analysis, and helping drive timely resolution.

What we need to see:

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).
4+ years of experience in platform, system, or hardware engineering from concept through delivery.
Working knowledge in one or more of: electrical/power build, mechanical/thermal engineering, firmware integration, or performance tuning.
Practical lab experience with hardware initialization and troubleshooting, including skill with oscilloscopes, multimeters, logic analyzers, and signal measurement instruments.
Experience with board building using Cadence tools, including schematic capture (Design Entry HDL/OrCAD/Capture) and PCB layout (Allegro).
Experience working in Linux environments to run SW diags, FW upgrades, and retrieve/parse test logs.
Understanding of communication protocols such as I2C, SPI, USB and UART.
Solid debugging and problem-solving skills across hardware and software boundaries.

Ways to stand out from the crowd:

Exposure to large-scale AI platforms such as LPU, GPU, TPU, or custom accelerators.
Experience supporting the build or validation of accelerator systems at rack or cluster scale.
Exposure to advanced system builds such as new power networks, liquid cooling, or optical interconnects.
Familiarity with cross-functional collaboration across diverse engineering teams.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Hardware Systems Engineer - LPU Platform Pathfinding at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Hardware Systems Engineer - LPU Platform Pathfinding is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $124k-$196k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 29, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Hardware EngineeringSystems EngineeringCircuit DebugThermal EngineeringPower DeliveryOscilloscopesLogic AnalysersCadence

Questions you could be asked

Tell me about a project where hardware engineering was part of your work. What did you do?
Tell me about a project where systems engineering was part of your work. What did you do?
Tell me about a project where circuit debug was part of your work. What did you do?
Tell me about a project where thermal engineering was part of your work. What did you do?
Tell me about a project where power delivery was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Hardware Engineering, Systems Engineering, Circuit Debug, Thermal Engineering, and Power Delivery. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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