Senior Solutions Architect, AI Infrastructure Build Readiness
NVIDIA ยท via
Remote Communications Jobs
๐ฐ $184,000 - $287,500/yr
๐ Remote
๐ Remote, California
Job Description:
- Serve as a trusted advisor on complex or large-scale customer workloads and map them to NVIDIA's technology stack
- Co-design scalable architectures with OEM and deployment partners
- Define technical direction, integration milestones, and deployment plans
- Design, validate, and support solutions for customer and partner success
- Identify gaps between partner needs and NVIDIA offerings
- Communicate insights that shape internal product and engineering priorities
- Lead technical engagements and troubleshoot complex issues
- Drive technical enablement and platform adoption
- Help developers and enterprises integrate NVIDIA SDKs, frameworks, and systems
- Partner with engineering and product teams on successful deployment and continuous improvement
- Lead AI Factory build execution engagements, technical readiness, deployment validation, and issue resolution
Requirements:
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field
- 8+ years of professional experience spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management
- 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems
- Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems
- Track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries
- Ability to communicate complex technical ideas clearly to technical and non-technical audiences
- Strong problem-solving skills, intellectual curiosity, and commitment to helping customers succeed
- Experience working with OEM, ODM, system integrator, or deployment partner ecosystems
- Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms
- Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams
- Travel required up to 50%
Benefits:
- Equity
- Benefits