NVIDIA19.02.26
AI SCORE 9.0

Remote Senior GenAI Technical Lead - Partner Platforms

$184K–$357K/year

About the Role

Join NVIDIA as a Remote Senior GenAI Technical Lead Partner Platforms, where you'll play a pivotal role in defining and implementing the technical strategy for integrating our Generative AI software with key enterprise partners. This position is an exciting opportunity to work at the intersection of platform strategy and hands-on technical execution, driving the adoption of NVIDIA's offerings across critical enterprise initiatives.

What You'll Do

  • Build and drive the technical integration of GenAI offerings across a focused set of ISV and CSP Platforms, collaborating closely with their Platform Architects.
  • Define technical objectives, timelines, and product adoption strategies that align with each partner’s long-term business goals.
  • Design and implement methodologies, code, and reference architectures that utilize NVIDIA libraries such as NeMo, NIMs, Triton, and Tensor-RT, as well as technologies like vLLM, LangChain, and vector databases.
  • Own the technical product engagement, driving regular meetings, progress tracking, and adoption status reporting consistent with NVIDIA's culture.
  • Collaborate with NVIDIA Product, Engineering, Research, and Solution Architecture teams to achieve efficient solutions.
  • Develop a deep understanding of the GenAI lifecycle, focusing on areas such as Data Curation, LLM Pre-training, and Multi-agent workflows.
  • Represent partner needs and architecture designs to Product and Engineering teams.
  • Contribute to the product roadmap by providing insights from large-scale enterprise environments and cross-industry patterns.

Requirements

  • 8+ years of experience in technical Product or Engineering roles in Enterprise Software and Cloud Platforms.
  • Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
  • Strong background in AI/ML and Deep Learning with hands-on experience in building enterprise-grade GenAI systems.
  • Experience with programming languages and libraries such as Python, PyTorch, and NVIDIA NeMo.
  • Ability to research, prototype, and collaborate with teams to deliver the best technical solutions.
  • Strong understanding of enterprise deployments including MLOps and Cloud Native technologies.
  • Excellent communication skills and a deep curiosity for emerging AI technologies.
  • High ownership and initiative in aligning internal and external collaborators.

Nice to Have

  • Track record of influencing complex product decisions through trusted partner relationships.
  • Proactive in anticipating market trends and advocating for innovation.
  • Demonstrated agility in high-stakes environments.
  • Strong growth and solution outlook, with the ability to build trust with multi-functional teams.

What We Offer

  • Competitive base salary ranging from $184,000 to $356,500 based on experience and location.
  • Eligibility for equity and comprehensive benefits.
  • Opportunity to work with some of the most brilliant minds in technology.
  • Flexible remote work environment that fosters diversity and inclusion.
  • Access to cutting-edge technologies and frameworks in the AI space.
  • Supportive culture that values innovation and collaboration.
  • Continuous learning and professional development opportunities.
  • Engagement in transformative projects that impact society.
Why This Job9.0 of 10

This role offers a unique opportunity to lead technical integrations of Generative AI at NVIDIA, a leader in accelerated computing. The position promises a competitive salary and the chance to work with cutting-edge technologies.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Deep expertise in Generative AI technologies, particularly with hands-on experience in NVIDIA NeMo and PyTorch, allowing for efficient model development and fine-tuning in cloud environments.

Strong problem-solving mindset with a focus on MLOps practices, ensuring seamless deployment and monitoring of AI models using Kubernetes and Docker in a remote work setup.

Proven leadership experience in driving cross-functional project initiatives, with a strategic approach to integrating cloud platforms and enterprise solutions that enhance NVIDIA's partner offerings.

Learning Resources

NVIDIA NeMo Documentationguide

Career Path

Remote Senior GenAI Technical Lead - Partner Platforms(Now)Director of AI Solutions(2-4 years)VP of Technology Strategy(5-7 years)

Market Overview

Market Size 2024
$41.9B
Annual Growth
34.9%
AI Adoption
75%
Investment
+150%
Labour Demand
+50%
Avg Salary
$160K

Skills & Requirements

Required
Generative AICloud PlatformsPython
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
Traditional Machine Learning (e.g., Scikit-learn)Rule-based AI Systems

Domain Trends

Increased Adoption of Generative AI in Enterprises
Enterprises are increasingly adopting Generative AI solutions, with 60% of organizations planning to implement or expand their use of AI technologies within the next 12 months.
Shift Towards Cloud-based AI Solutions
Over 70% of AI workloads are expected to be deployed on cloud platforms by 2025, driven by the scalability and flexibility of cloud services.
Integration of Generative AI with MLOps
The integration of Generative AI with MLOps practices is growing, with a reported 40% increase in companies utilizing MLOps frameworks to streamline AI model deployment and monitoring.

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