NVIDIA
Senior GenAI Engagement Lead, Partner Platforms
NVIDIA, Myrtle Point, Oregon, United States, 97458
Why consider this job opportunity
Salary up to $356,500
Opportunity for career advancement and growth within the organization
Work collaboratively with leading experts in AI and cloud technologies
Engage in innovative projects that redefine enterprise capabilities
Comprehensive benefits package including equity options
Chance to make a significant impact on the future of enterprise AI solutions
What to Expect (Job Responsibilities)
Drive the technical integration of Generative AI offerings across ISV and CSP platforms, aligning with partners’ business objectives
Design and implement methodologies, code, and reference architectures for complex AI workflows
Manage technical product engagement, including regular meetings and progress tracking
Develop expertise in the GenAI lifecycle stages and represent partner needs to internal teams
Stay updated with industry trends and advancements in GenAI technologies
What is Required (Qualifications)
7+ years of experience in technical Product or Engineering roles in Enterprise Software or Cloud Platforms
Master's or PhD in Computer Science, Electrical Engineering, or equivalent experience
Strong background in AI/ML and Deep Learning with hands‑on experience in enterprise‑grade GenAI systems
Proficiency in programming languages and libraries such as Python, PyTorch, and NVIDIA NeMo
Understanding of enterprise deployments, MLOps, and Cloud Native technologies
How to Stand Out (Preferred Qualifications)
Proven track record of influencing product decisions through partner relationships
Proactive in anticipating market trends and advocating for innovation
Experience in high‑stakes environments to deliver successful partner collaborations
Ability to build deep trust with engineers and executives across organizations
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.
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Salary up to $356,500
Opportunity for career advancement and growth within the organization
Work collaboratively with leading experts in AI and cloud technologies
Engage in innovative projects that redefine enterprise capabilities
Comprehensive benefits package including equity options
Chance to make a significant impact on the future of enterprise AI solutions
What to Expect (Job Responsibilities)
Drive the technical integration of Generative AI offerings across ISV and CSP platforms, aligning with partners’ business objectives
Design and implement methodologies, code, and reference architectures for complex AI workflows
Manage technical product engagement, including regular meetings and progress tracking
Develop expertise in the GenAI lifecycle stages and represent partner needs to internal teams
Stay updated with industry trends and advancements in GenAI technologies
What is Required (Qualifications)
7+ years of experience in technical Product or Engineering roles in Enterprise Software or Cloud Platforms
Master's or PhD in Computer Science, Electrical Engineering, or equivalent experience
Strong background in AI/ML and Deep Learning with hands‑on experience in enterprise‑grade GenAI systems
Proficiency in programming languages and libraries such as Python, PyTorch, and NVIDIA NeMo
Understanding of enterprise deployments, MLOps, and Cloud Native technologies
How to Stand Out (Preferred Qualifications)
Proven track record of influencing product decisions through partner relationships
Proactive in anticipating market trends and advocating for innovation
Experience in high‑stakes environments to deliver successful partner collaborations
Ability to build deep trust with engineers and executives across organizations
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.
#J-18808-Ljbffr