Base: 116,000 usd - 189,750 usd for level 2, 136,0...
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Rtl power optimization fundamentals
Python programming for automation
Ai/ml-driven power analysis
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NVIDIA is seeking a recent graduate for a position focused on RTL power optimization within their advanced AI and GPU technology teams. The role involves collaborating with various engineering teams to enhance the energy efficiency of NVIDIA's products through innovative power analysis and optimization techniques.
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Job Summary
Our team works on power optimization of data center, gaming, automotive GPU chips, and networking chips using architecture, micro-architecture, RTL design, methodology, and AI-based solutions.
You will collaborate with architects, performance engineers, software engineers, ASIC design engineers, and physical design teams to implement power analysis and reduction techniques for next-generation NVIDIA products.
NVIDIA offers a diverse and encouraging environment with competitive salary, equity, and benefits, and is committed to fostering a diverse work environment as an equal opportunity employer.
Matching Summary
Match Score: 75
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NVIDIA is seeking a recent graduate for a position focused on RTL power optimization within their advanced AI and GPU technology teams. The role involves collaborating with various engineering teams to enhance the energy efficiency of NVIDIA's products through innovative power analysis and optimization techniques.
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Salary
Base: 116,000 USD - 189,750 USD for Level 2, 136,000 USD - 218,500 USD for Level 3; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits
Skills & Requirements
Must-have
RTL power optimization fundamentals
Python programming for automation
AI/ML-driven power analysis
Pre-silicon power analysis tools
Low-power RTL design techniques
Nice-to-have
Collaboration with cross-functional teams
Strong communication skills
Debugging RTL and gate-level power anomalies
Experience with Verilog prototyping
Key Requirements
MS or PhD in Electrical or Computer Engineering
Experience with AI, Digital Design, and VLSI concepts
Familiarity with backend flows like synthesis and place-and-route
Exposure to power analysis tools such as PowerArtist or PrimeTime PX
Strong Python programming skills
Machine Learning and AI coursework or experience
Experience debugging RTL or gate-level power anomalies