NVIDIA
Senior Technical Marketing Engineer - GPU and System Architecture
NVIDIA, Myrtle Point, Oregon, United States, 97458
Employer Industry: Technology (Artificial Intelligence and Data Centers)
Why consider this job opportunity:
Salary range of $160,000 - $322,000 depending on experience and level Opportunity for equity and comprehensive benefits package Work in a cutting-edge environment focused on AI and advanced computing technologies Engage with industry leaders and contribute to innovative solutions in data centers Chance to showcase expertise in GPU architecture and influence product development Collaborative and inclusive company culture that values diversity and creativity What to Expect (Job Responsibilities):
Serve as the technical voice for GPU and rack-scale systems, bridging architecture and deployment Develop content that elucidates NVIDIA GPU architecture and its role in AI workloads Demonstrate integration of critical infrastructure technologies for optimal AI performance Create technical blogs, whitepapers, and presentations connecting platform innovations to customer benefits Partner with hyperscalers, OEMs, and system operators to address design challenges and ROI communication What is Required (Qualifications):
BS/MS in Computer Engineering, Electrical Engineering, or related field, or equivalent experience Minimum of 7 years in GPU, system architecture, technical marketing, or solutions architecture roles within AI and data center domains Deep expertise in GPU architecture, accelerators, and system components Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges Exceptional ability to convey complex technical concepts to diverse audiences How to Stand Out (Preferred Qualifications):
Experience with technical storytelling and engaging presentations tailored to various stakeholders Insights into market trends and competitive landscapes in AI and data center technologies Proven track record of successful customer engagement and relationship management #ArtificialIntelligence #DataCenters #TechnicalMarketing #GPUArchitecture #DiversityInTech We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Salary range of $160,000 - $322,000 depending on experience and level Opportunity for equity and comprehensive benefits package Work in a cutting-edge environment focused on AI and advanced computing technologies Engage with industry leaders and contribute to innovative solutions in data centers Chance to showcase expertise in GPU architecture and influence product development Collaborative and inclusive company culture that values diversity and creativity What to Expect (Job Responsibilities):
Serve as the technical voice for GPU and rack-scale systems, bridging architecture and deployment Develop content that elucidates NVIDIA GPU architecture and its role in AI workloads Demonstrate integration of critical infrastructure technologies for optimal AI performance Create technical blogs, whitepapers, and presentations connecting platform innovations to customer benefits Partner with hyperscalers, OEMs, and system operators to address design challenges and ROI communication What is Required (Qualifications):
BS/MS in Computer Engineering, Electrical Engineering, or related field, or equivalent experience Minimum of 7 years in GPU, system architecture, technical marketing, or solutions architecture roles within AI and data center domains Deep expertise in GPU architecture, accelerators, and system components Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges Exceptional ability to convey complex technical concepts to diverse audiences How to Stand Out (Preferred Qualifications):
Experience with technical storytelling and engaging presentations tailored to various stakeholders Insights into market trends and competitive landscapes in AI and data center technologies Proven track record of successful customer engagement and relationship management #ArtificialIntelligence #DataCenters #TechnicalMarketing #GPUArchitecture #DiversityInTech We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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