Computer Vision Solutions Leader (NVIDIA Focus)

About the Role

In this role, you will lead the design and delivery of enterprise-scale Computer Vision and AI solutions - from validating architectures to getting them into production. You will work closely with clients, internal engineering teams, NVIDIA stakeholders, and business development leaders to create scalable AI architectures and industry-focused solutions that deliver measurable business outcomes. It's a rare mix of deep technical work and customer-facing leadership, with direct impact on how businesses transform through AI.

Responsibilities

• Lead end-to-end Computer Vision and AI engagements from discovery and solution architecture through implementation and value realization
• Translate complex business challenges into scalable AI/CV solution roadmaps and enterprise architectures
• Act as a trusted advisor to executive stakeholders, driving AI adoption and demonstrating measurable business impact
• Manage project governance, including scope, timelines, budget, risk management, and delivery quality across multiple initiatives
• Lead cross-functional collaboration between engineering, data science, product teams, and NVIDIA stakeholders
• Contribute to the NVIDIA alliance GTM strategy by shaping AI/CV offerings, accelerators, and industry solutions
• Support pre-sales activities, including workshops, proposals, executive presentations, and solution positioning
• Develop reusable frameworks, proofs-of-concept, demos, and accelerators to improve scalability and reduce time-to-market
• Conduct market research and evaluate emerging technologies across the NVIDIA ecosystem, including NeMo, Triton, TensorRT, Metropolis, and related AI platforms
• Drive thought leadership initiatives through whitepapers, demos, case studies, and industry events
• Establish best practices for model lifecycle management, deployment, and enterprise AI architecture standards

Requirements

• 6+ years of experience in Computer Vision, Machine Learning, Deep Learning, or AI solution delivery
• Strong expertise in multimodal AI, generative AI, transformers, diffusion models, and vision-language models
• Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets
• Experience across the full AI model lifecycle, including experimentation, optimization, deployment, and inference
• Expertise with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, TAO Toolkit, or similar platforms
• Familiarity with NVIDIA AI technologies, including NeMo, Riva, TensorRT, Triton, Metropolis, or related ecosystem tools strongly preferred
• Strong understanding of classical Computer Vision techniques, including camera calibration, feature matching, homography estimation, and image/video analytics
• Experience deploying AI solutions within AWS, Azure, GCP, Kubernetes, OpenShift, or hybrid enterprise environments
• Strong advisory and stakeholder management capabilities with experience presenting to leadership teams and supporting GTM initiatives
• Excellent communication, collaboration, analytical, and problem-solving skills
• Understanding of enterprise software architecture, cloud computing, Big Data, SDLC, and AI adoption challenges
• Bachelor's degree in Computer Science, Applied Mathematics, Physics, or related technical field preferred