Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Industry X Robotics
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
, Summary: -As a Hybrid AI–Infrastructure Solution Architect (Industry X & Robotics), you will design and implement AI-driven, cloud-integrated robotic and infrastructure solutions. You’ll lead hybrid AI architecture initiatives, optimize GPU and automation systems, and drive digital transformation across Industry X environments. Roles & Responsibilities: -Lead end-to-end architecture combining AI/ML workloads, Robotics systems, and hybrid cloud infrastructure for Industry X transformation. -Design and implement scalable hybrid infrastructures supporting AI and Robotics workloads in Industry X environments -Design GPU-optimized AI & Robotics clusters using Kubernetes, NVIDIA AI frameworks, and Edge Computing environments. -Define blueprints integrating data, compute, robotics automation, and digital twins across on-prem, edge, and cloud. -Partner with Industry X leaders to align technology strategy with smart manufacturing and robotics innovation. -Drive AI enablement for robotics automation — including vision systems, path planning, and predictive maintenance models. -Govern security, reliability, and performance standards for hybrid AI–Robotics deployments. Professional & Technical Skills: -Expertise in AI/ML, Robotics, Cloud, and Infrastructure Architecture. -Strong hands-on experience with Azure Stack HCI, VMware, Cisco Hyperflex, NVIDIA Omniverse, and Jetson platforms. -Deep knowledge of Digital Twin technologies, ROS2, and Edge AI orchestration. -Skilled in Terraform, Jenkins, Kubernetes, and CI/CD automation. -Strong leadership and communication for managing multi-disciplinary global teams. Must-Have Skills: -Hybrid AI + Cloud + Robotics design expertise. -Hands-on experience in Edge AI, MLOps, and Automation. -Deep understanding of Industry X ecosystems and digital transformation. -Strategic leadership and strong stakeholder engagement. Additional Information: -Experience: 15+ years, with proven leadership in AI/Infra/Robotics solutions. -Education: B.E/B.Tech/MCA/M.Tech (Computer Science, Electronics, or Mechatronics preferred). -Preferred Certifications: • Azure Solution Architect Expert • AI Engineer Associate • NVIDIA AI Specialist / Robotics Certification • VMware VCP / CCNP
Bengaluru
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