RTL Power Optimization – New College Grad 2026 at NVIDIA
Ideal for a Master’s or PhD graduate in Electrical or Computer Engineering, this role targets those with hands-on experience in VLSI design, AI, and digital pow
Work type: onsite
Location: US, CA, Santa Clara
Salary: $116,000 – $218,500/yr
Type: Full-time
Ideal for a Master’s or PhD graduate in Electrical or Computer Engineering, this role targets those with hands-on experience in VLSI design, AI, and digital power optimization. You should have a solid foundation in low-power architecture and RTL-level design patterns.
**What makes it worth a look...**
NVIDIA offers a base salary between $116,000 and $218,500 for this on-site role in Santa Clara, California. Beyond the competitive pay, you will gain hands-on access to next-generation GPU and networking chip development while qualifying for equity and comprehensive benefits.
**You might be a good fit if you...**
* Have strong Python programming skills for building automation and AI-driven data pipelines.
* Possess deep knowledge of Verilog and RTL-level power reduction techniques like clock gating.
* Are experienced with power analysis tools such as PowerArtist or PrimeTime PX.
* Understand backend flows including logic synthesis, placement, and routing.
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