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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture and technical consulting, with a strong focus on integrating NVIDIA SDKs and libraries to enhance software performance. Proven ability to communicate complex technical concepts to diverse stakeholders and drive successful customer outcomes in AI and GPU computing.
Highest-signal resume keywords
Solution ArchitectureTechnical ConsultingNVIDIA SDK IntegrationGPU ComputingAgentic AI Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solution ArchitectureTechnical ConsultingGPU Architecture FundamentalsCUDAInference OptimizationAccelerated AI PipelinesModel IntegrationAI-Based Workflow OrchestrationPerformance OptimizationDeployment Strategies
Soft Skills
Strong Communication SkillsCustomer EngagementCollaborationTechnical Leadership
Tools & Technologies
NVIDIA AI LibrariesEnterprise Software PlatformsAI InfrastructureTechnical Partner Ecosystems
Industry Keywords
Independent Software VendorsEnterprise WorkflowsTechnical SolutionsProof-of-Concept DevelopmentSolution Validation
About the role
Key responsibilities & impact- Work with ISVs and end customers to understand their software architecture, technical requirements, and business workflows, then guide them toward the best NVIDIA-based solution
- Help ISVs integrate the right NVIDIA SDKs, libraries, and platform capabilities into their existing applications to accelerate performance, enrich functionality, and improve customer outcomes
- Support technical discovery, proof-of-concept development, solution validation, and production adoption for industry software platforms
- Collaborate with headquarters engineering, product, and partner teams in English to resolve technical issues, influence roadmap alignment, and ensure strong execution for strategic ISV engagements
- Analyze workflow bottlenecks, application behavior, and deployment trade-offs, then recommend practical architectures that improve performance, scalability, and usability for customers
Requirements
What you’ll need- MS, PhD in Computer Science, Electrical Engineering, Software Engineering, or related fields, or equivalent experience
- 5+ years of relevant work experience in solution architecture, technical consulting, developer relations, platform engineering, or a related customer-facing technical role
- Strong industry background with domain expertise and an understanding of real-world enterprise workflows in one or more verticals
- Working knowledge of GPU architecture fundamentals and how GPU computing can accelerate software applications and industry workloads
- Experience supporting customers or software partners through integration, optimization, deployment, and adoption of technical solutions
- Good understanding of Agentic AI concepts, application patterns, and enabling technologies, with practical familiarity in areas such as CUDA, accelerated AI pipelines, model integration, or AI-based workflow orchestration
- Ability to communicate with both technical and business customers, translate sophisticated requirements into actionable solutions, and work effectively across multi-functional teams
- Strong written and oral communication skills in English, with the ability to collaborate effectively with global management, engineering, and partner teams
- Experience working with Independent Software Vendors (ISVs), AI infrastructure, enterprise software platforms, or technical partner ecosystems
- Practical experience with Agentic AI, inference optimization, or NVIDIA AI / accelerated computing libraries
- Strong customer engagement skills with a proven record of helping partners and customers succeed through technical leadership and execution