Top Tech Jobs & Startup Jobs in Pune

Build and improve infrastructure supporting GPU firmware development, including build systems, regression farms, CI/CD pipelines, developer tools, test frameworks, web services, release pipelines, and observability. Debug issues across hardware, software, and processes; create AI-powered workflows; automate toil; and develop scalable internal tooling. Collaborate closely with hardware and software engineers while documenting requirements, designs, and trade-offs.

Develop and execute systematic software test plans for NVIDIA graphics, compute, and SOC products. Write tests, analyze results, document defects, troubleshoot test issues, maintain QA processes, and collaborate with development engineers to resolve problems. The role focuses on system software quality assurance rather than web testing, requiring PC and system assembly knowledge, hardware architecture understanding, and strong communication skills.

Supports SOX IT compliance by identifying risks, testing IT general and automated controls, documenting audit workpapers, evaluating deficiencies, and coordinating remediation. The role collaborates with process owners and external auditors, supports walkthroughs and testing, performs internal audit and AI automation projects, and maintains compliance documentation across SAP and third-party environments.

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.

Build and maintain system software and infrastructure for deploying, benchmarking, automating, and qualifying AI applications and models. Responsibilities include supporting inference backends, managing local model repositories, developing performance and correctness measurement systems, processing workload metrics, implementing diagnostics and observability, and maintaining automated build, integration, deployment, and qualification pipelines. The role also involves debugging system architectures, analyzing bottlenecks, and improving scalability across Linux and Windows environments.

Supports NVIDIA AI Enterprise customers across cloud and datacenter environments by troubleshooting complex software issues, developing Python automation and deployment tooling, creating diagnostics and reproducible tests, and collaborating with engineering on fixes. The role requires expertise in Linux, Kubernetes, containers, cloud platforms, GPU-accelerated AI stacks, and production deployments. Responsibilities include customer escalations, technical documentation, bug reports, root-cause analysis, and limited weekend on-call support.

Provides Tier 3 technical support for networking products in data center, AI, storage, and HPC environments. Installs systems, troubleshoots complex network issues, develops customer solutions, manages complex installations, and handles problem resolution. The role requires expertise in routing, switching, virtualization, Linux, scripting, Ansible, and major network vendors. It also involves customer communication, site visits, process improvement, and collaboration with Engineering, Marketing, Support, customers, and partners.

Develop and maintain DirectX graphics drivers for NVIDIA GPUs, develop graphics and AI-based rendering features, and build AI-agent automation for debugging, testing, triage, code analysis, documentation, and developer productivity. Collaborate across teams to deliver software objectives while improving quality and engineering workflows.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Lead design and development of NVIDIA GPU assembler and disassembler tools. Develop binary analysis and instrumentation capabilities, including call-graph generation, register-usage analysis, and GPU binary patching. Collaborate with architecture, debugger, profiler, and related engineering teams to deliver reliable code-generation features. Engage customers and partners to gather feedback and guide product improvements for HPC, deep learning, and autonomous-driving applications.