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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and optimizing AI workloads using NVIDIA technologies, with a strong focus on model performance, cost efficiency, and real-time AI applications. Proven ability to collaborate with technical leaders and influence product architecture in fast-paced startup environments.
Highest-signal resume keywords
AI Workload OptimizationMachine Learning InfrastructureModel ServingNVIDIA TechnologiesReal-Time AI Applications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSolutions ArchitectureModel OptimizationDistributed SystemsInference ScalingAI Product DevelopmentCUDATensorRT-LLMTriton Inference ServerNVIDIA NeMo
Soft Skills
Exceptional CommunicationRelationship BuildingInfluencing Product Architecture
Tools & Technologies
CUDA-X LibrariesGPU-Accelerated Data ProcessingRAPIDSAI BlueprintsAgent Frameworks
Industry Keywords
AI-Native CompaniesDeveloper PlatformsMultimodal ModelsAI CopilotsHigh-Growth Developer Ecosystems
Tech Stack
Tools & technologiesCloudDistributed SystemsMicroservices
About the role
Key responsibilities & impact- Serve as a trusted technical advisor to AI-native companies building developer copilots, AI search engines, agentic platforms, and multimodal creative tools
- Architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks
- Help companies scale training and inference infrastructure while optimizing model performance, cost efficiency, and latency
- Guide startups through model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems
- Collaborate with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence the platform roadmap
- Build relationships with founders, CTOs, and technical leaders across the AI-native ecosystem
- Create reference architectures, AI blueprints, and best practices for scalable AI applications and agentic systems
- Partner with Industry Business Development teams, Solutions Architects, and Account Managers to accelerate NVIDIA technology adoption
Requirements
What you’ll need- BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
- 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems
- Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services
- Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications
- Deep understanding of LLMs, agent frameworks, multimodal models, and inference optimization
- Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps
- Exceptional communication skills and ability to explain complex AI systems to engineers, startup founders, and executives
- Experience working within fast-moving startup environments or supporting high-growth developer ecosystems
- Experience with AI-native startups, developer tools, AI copilots, agent platforms, search systems, or multimodal applications (ways to stand out)
- Experience optimizing LLM training or inference with TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies (ways to stand out)
- Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities (ways to stand out)
- Experience shaping product architecture and platform strategy with startup founders and early engineering teams (ways to stand out)
- Experience contributing to open-source AI frameworks or developer ecosystems (ways to stand out)
Benefits
Comp & perks- Competitive salaries
- Generous benefits package
- Equity
- Benefits
- Inclusive work environment
- Equal opportunity employment