Senior Datacenter GPU Power Architect
Description For Senior Datacenter GPU Power Architect
NVIDIA, a world leader in accelerated computing, is seeking a Senior Datacenter GPU Power Architect to join their Applied Power Architecture team. This role is crucial in developing state-of-the-art GPUs for AI, HPC, Automotive, GeForce, and Mobile products. The position involves sophisticated work in power estimation, architecture exploration, and system optimization for datacenter-scale operations.
The role combines technical expertise in GPU architecture with power efficiency optimization, requiring deep understanding of both hardware and software components. You'll be working on cutting-edge technologies, developing power estimation models, and implementing machine learning techniques for performance optimization. The position offers the opportunity to work with cross-functional teams and influence product roadmaps directly.
NVIDIA offers a competitive compensation package, including a base salary range of $136,000 - $264,500 USD, plus equity and benefits. The company is known for its innovative work culture and commitment to diversity, making it one of the technology world's most desirable employers. This role provides an excellent opportunity to work on groundbreaking developments in AI and High-Performance Computing while contributing to energy-efficient solutions that power the future of technology.
The ideal candidate will bring strong technical expertise in power architecture, system design, and performance optimization, combined with excellent collaborative skills. This role offers the chance to work at the forefront of GPU technology while making significant contributions to NVIDIA's mission of advancing accelerated computing solutions.
Responsibilities For Senior Datacenter GPU Power Architect
- Conceive flows/methodologies/KPIs and build power estimation models/tools for GPU products and systems
- Early GPU & System Architecture exploration focusing on energy efficiency and TCO improvements
- Set power targets for future projects and track ASIC milestones
- Deploy machine learning techniques for accurate power and performance models
- Analyze workload characteristics for GenAI/HPC workloads at Datacenter Scale
- Conduct pre-silicon thermal analysis for next-gen GPUs
- Model & analyze cutting-edge technologies like chiplets and high-speed interconnects
- Work with cross-functional teams to influence product roadmap
Requirements For Senior Datacenter GPU Power Architect
- MSEE/MSCE, preferably PhD, or equivalent experience
- 5+ years of experience
- Strong knowledge of energy efficient chip/system design fundamentals
- Familiarity with low power design techniques
- Deep understanding of processors and system-SW architectures
- Familiarity with Python and Si data analysis
- Experience with performance monitors/simulators
- Strong interpersonal and organizational skills
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