DevOps Master, NVIDIA Knowledge

Job Description:

• 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.

Benefits:

• Premium Healthcare
- Meal voucher- Maternity and Parental leaves- Mobile services subsidy- Sick pay-Life insurance- CI&T University- Colombian Holidays- Paid Vacations