Top Tech Jobs & Startup Jobs in Chennai

Architects, implements, and supports advanced SAP IBP and APO supply chain planning solutions. Leads process improvements, prototypes, testing, upgrades, training, data analysis, and optimization modeling for supply and demand planning. Collaborates with business and IT teams to deliver scalable solutions, improve profitability, and support semiconductor industry planning needs. The role also mentors stakeholders and influences senior leadership on system adoption and operational improvements.

Design and ship Java, Go, and Rust services for NVIDIA Cloud Functions, a distributed platform routing AI workloads across GPU fleets. Improve performance, reliability, scalability, and cloud-native build and release processes. Collaborate across NVIDIA technologies, contribute to an open-source project, triage community issues, review pull requests, and write documentation. The role requires expertise in systems programming, distributed architecture, Kubernetes, containerization, Linux internals, scripting, and continuous integration.

Own and resolve complex Slurm support cases for production AI and HPC clusters. Diagnose scheduler, Linux, networking, storage, authentication, database, container, and GPU infrastructure issues; advise customers on configuration, upgrades, reliability, and incident recovery; collaborate with engineering on defects; and develop technical documentation, diagnostic tools, and training.

Design, develop, operate, and optimize large-scale software-defined networking solutions for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps integrations, and secure gRPC/REST services. The role owns production reliability, incident response, performance tuning, and upstream open-source contributions while collaborating with SRE, DevOps, and network engineering teams.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Design, develop, and deploy AI-powered automation for hardware performance verification. Build intelligent tools and agents for test generation, regression detection, failure analysis, and corrective recommendations. Integrate LLM assistants, create verification data pipelines, establish impact dashboards, and collaborate with verification engineers. Apply generative AI, reinforcement learning, and formal methods to improve coverage, reduce cycle times, and increase productivity across complex GPU, CPU, memory, and HPC verification workflows.

Lead the architecture and development of scalable full-stack Sales AI applications. Integrate generative AI models, retrieval systems, APIs, and agentic workflows into secure production solutions. Guide architecture across front-end, back-end, data, integrations, and cloud infrastructure while improving testing, delivery, observability, reliability, and maintainability. Lead technical decisions, investigate complex issues, mentor engineers, and collaborate with product, AI, data, security, and engineering teams.

Lead post-launch operations for Sales AI applications, ensuring availability, performance, security, governance, support readiness, and continuous improvement. Establish incident, problem, change, release, and lifecycle processes; monitor service and adoption metrics; develop automation, observability, self-service capabilities, and production-readiness practices. Partner with Sales, Product, Engineering, Data, Security, and IT teams to improve user experience, platform reliability, adoption, and business value.

Design, build, and evolve secure, scalable full-stack sales applications incorporating generative AI, intelligent workflows, APIs, data services, and cloud infrastructure. Lead architecture and technical design decisions, integrate AI models and retrieval systems, improve testing, CI/CD, observability, and production reliability, and mentor engineers. Collaborate with Product, AI/ML, Data, Security, Solution Architecture, and Engineering teams to deliver enterprise applications globally.

Architect and implement OpenBMC-based management for server platforms integrating BMCs, host CPUs, and top-of-rack Ethernet switches. Develop D-Bus services, Redfish APIs, object models, telemetry, security, firmware, and L2 networking capabilities. Build backend abstractions supporting switchdev, SAI, SONiC, DENT, and vendor SDKs. Collaborate across hardware, security, firmware, QA, manufacturing, and networking teams to deliver reusable, testable platform-management architecture.