At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

Our team develops and operates delivery routing and optimization solutions powered by NVIDIA cuOpt and Azure. These solutions use GPU acceleration to efficiently solve complex routing problems involving thousands of deliveries and operational constraints while supporting production-scale business operations.      

Primary Responsibilities:

- Lead the design, deployment, and optimization of NVIDIA cuOpt-based routing and optimization solutions.
- Architect and implement GPU-accelerated applications and services within Microsoft Azure.
- Drive performance tuning across GPU infrastructure, including compute, memory, parallelization, and resource utilization.
- Design scalable, resilient Azure architectures capable of supporting high-volume optimization workloads.
- Establish benchmarking, monitoring, and capacity planning practices for GPU-based services.
- Collaborate with Data Science, Engineering, and Platform teams to operationalize routing and optimization solutions.
- Troubleshoot and resolve performance, scalability, and infrastructure challenges in production environments.
- Define best practices for GPU acceleration, cloud-native deployment, and cost-efficient scaling strategies.
- Provide technical leadership and guidance on NVIDIA technologies, CUDA, high-performance computing, and Azure infrastructure.

Requirements:

• Experience with NVIDIA cuOpt: Implementation of routing optimization solutions using cuOpt.
• Competence in GPU Computing: Knowledge of CUDA and performance optimization on GPUs.
• Microsoft Azure Platform: Ability to architect and implement solutions on Azure.
• System Architecture: Creation of scalable and resilient architectures for optimization workloads.
• Best Practices in DevOps: Knowledge of CI/CD, infrastructure automation, and configuration management.
• Advanced English for conversation is a must.

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