NVIDIA is seeking a Software CSP Co-Sell Specialist to drive strategic engagement and joint go-to-market execution with a leading Cloud Service Provider (CSP). This role focuses on accelerating adoption of NVIDIA AI and Generative AI software by working across the CSP’s engineering, developer, product, and field organizations. This position blends technical partnership, ecosystem development, field enablement, and co-sell strategy. You will work at the intersection of engineering integration and revenue acceleration—ensuring NVIDIA technologies are deeply embedded within CSP services and that field teams are enabled to scale GPU-accelerated AI workloads. The ideal candidate combines strong knowledge of cloud AI architectures with experience driving multi-functional alignment across engineering, product, sales, and marketing teams.
What You’ll Be Doing:
- Develop and complete a joint co-sell and ecosystem strategy with CSP collaborators, aligning engineering integrations to revenue priorities.
- Build strong relationships with CSP engineering leaders, architects, and developer communities to accelerate integration of NVIDIA AI and GPU-accelerated technologies.
- Identify and prioritize CSP services and applications that can benefit from GPU acceleration in AI, Generative AI, HPC, and advanced analytics workloads.
- Partner with CSP and NVIDIA enablement teams to develop and deliver technical workshops, demos, and solution content for both developer and field sales audiences.
- Translate developer and engineering feedback into actionable product insights and roadmap input for NVIDIA internal teams.
- Support strategic customer opportunities by providing technical guidance, architectural validation, and alignment between CSP and NVIDIA teams.
- Drive joint go-to-market initiatives that connect engineering integration with field execution and pipeline development.
- Collaborate with Solutions Architects, Product, Marketing, and Sales teams to ensure cohesive messaging and technical positioning.
- Represent NVIDIA at industry conferences, CSP developer events, and technical summits to strengthen ecosystem influence and showcase AI platform capabilities.
- Monitor competitive dynamics within the CSP ecosystem and communicate insights internally.
What We Need to See:
- 12+ years of experience in enterprise technology, cloud platforms, AI/ML, scalable applications, or GPU technologies.
- Strong understanding of AI infrastructure, Generative AI, machine learning, and cloud-native architectures on Azure.
- Experience working across engineering and field organizations to drive technology adoption.
- Proven ability to build strategic partnerships within a cloud ecosystem (Azure experience preferred).
- Excellent communication and presentation skills with both technical and business audiences.
- A Bachelors degree or equivalent experience is required; an advanced degree is preferred.
Ways to stand out from the crowd:
- Existing relationship with Microsoft sales and partnership organization.
- Familiarity with NVIDIA's product portfolio.
- Understanding of CSP partner ecosystem.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD for Level 5, and 248,000 USD - 396,750 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.