GPU/SOC Low-Power Feature Architect

NVIDIA is hiring a GPU/SOC Low-Power Feature Architect in Santa Clara, United States. It pays $168k-$265k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition, through bringup, to product release.

Our ArchDev arm is a hub for all silicon and system-level feature development, cost-benefit analysis, system integration solutions, and system POR alignment. As a member of this team, you will dive into next-gen high-speed interconnects like NVLink and NVLink-C2C to make advancements in efficiency and stability. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting product lines ranging from artificial intelligence to consumer graphics to self-driving cars and more.

What you’ll be doing:

Contribute to the design of the next generation of high-speed IOs, including NVLink and NVLink-C2C.
Responsible for IO power optimizations and continuing to push energy efficiency.
Ensure interoperability with connected devices and system components in complex interconnect topologies
Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams
Work closely and proactively with other engineering teams such as system architects, mixed signal and design, DGX, software/firmware, HW/SW QA, operations, and AE teams to drive design, development, debug, and release of next-generation products.

What we need to see:

BS or MS degree in EE/CE or equivalent experience
Minimum 10 years working on capacity - power management, use case analysis, perf/power modeling, bringup, and/or debug.
Ownership and working experience in some of the following areas:
- Experience with system-level and interconnect power management optimizations
- Silicon and platform-level power modeling for active/idle use cases
- Understanding of firmware/driver structures and their interaction with HW.
- Track record of influence, leadership, and collaboration across multiple teams towards a unified goal.
- Strong EE fundamentals, knowledgeable in computer architecture, high-speed interfaces, timing analysis, process variations, statistical error rates, and power analysis.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#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:
168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.

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

GPU/SOC Low-Power Feature Architect at NVIDIA rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.