Computer Vision Solutions Leader (NVIDIA)

TL;DR

Computer Vision Solutions Leader (NVIDIA): Leading the design and delivery of enterprise-scale Computer Vision and AI solutions with an accent on NVIDIA ecosystem integration and scalable architecture. Focus on driving AI adoption, managing complex delivery roadmaps, and acting as a trusted advisor to executive stakeholders.

Location: Must be based in the USA (Remote/Hybrid)

Salary: $146,250 – $247,500 annually

Company

hirify.global is a global digital consultancy providing software development and AI-driven business transformation services.

What you will do

• Lead end-to-end Computer Vision and AI engagements from discovery to production.
• Translate complex business challenges into scalable AI solution roadmaps and architectures.
• Manage project governance, including scope, budget, risk, and delivery quality.
• Drive cross-functional collaboration between engineering, data science, and NVIDIA stakeholders.
• Contribute to GTM strategy by shaping AI/CV offerings and accelerators.
• Support pre-sales activities, including proposals, workshops, and executive presentations.

Requirements

• Must be based in the USA
• 6+ years of experience in Computer Vision, Machine Learning, or AI solution delivery.
• Strong expertise in multimodal AI, generative AI, transformers, and vision-language models.
• Hands-on experience with Python, PyTorch, and cloud-based AI toolsets.
• Expertise with GPU-accelerated technologies like DeepStream, TensorRT, or Triton.
• Strong advisory and stakeholder management capabilities with experience presenting to leadership.

Nice to have

• Familiarity with NVIDIA AI technologies including NeMo, Riva, and Metropolis.
• Experience deploying AI solutions within AWS, Azure, GCP, or Kubernetes environments.
• Bachelor’s degree in Computer Science, Applied Mathematics, or Physics.

Culture & Benefits

• Equal Opportunity Employer committed to diversity and inclusion.
• Opportunity to lead high-impact enterprise AI transformations.
• Collaborative environment working with global engineering and business teams.
• Focus on professional growth and leadership development.