Top Tech Jobs & Startup Jobs in Pune

Develop kernel-level system software for NVIDIA hardware across the chip lifecycle, from architecture and development through production. Collaborate with hardware and cross-functional teams to solve complex performance and power-efficiency problems involving PCIe and connected technologies. The role requires deep system software expertise, C proficiency, kernel debugging skills, and strong technical leadership. Experience with SoC silicon bring-up, AI-assisted development, and broad system-level architecture is advantageous.

Drives power, performance, and performance-per-watt analysis for SoC and Windows on ARM systems. Builds automated power measurement infrastructure, analyzes telemetry and firmware traces, optimizes low-power states and battery-life scenarios, and collaborates with hardware, firmware, OS, and driver teams from pre-silicon modeling through post-silicon validation. Develops visualizations and reports to identify regressions and recommend system optimizations.

Develop and maintain board support package components for SoC and GPU platforms, including bootloaders, device drivers, and kernels. Bring up new SoC and GPU architectures, solve product-level issues, and integrate BSPs with OEM platforms. Collaborate across hardware and software teams while contributing to operating-system-agnostic embedded solutions. The role requires expertise in embedded systems, SoC architecture, and BSP development, with UEFI and EC experience preferred.

Develop system software, tools, and infrastructure for validating and productizing next-generation graphics and computing processors. Collaborate with architecture, hardware, and driver teams; assess hardware features; create manufacturing diagnostics; and debug robust solutions using operating systems, algorithms, and computer architecture expertise.

Leads engineering strategy, architecture, delivery, and operations for NVIDIA’s AI-powered employee productivity platform. Manages and develops engineering teams building web, mobile, and agentic experiences at global scale. Oversees technical roadmaps, distributed systems, enterprise integrations, reliability, security, privacy, observability, and responsible AI practices while partnering with Product, Design, HR, Security, SRE, and business stakeholders.

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.

Develop and maintain NVIDIA GeForce NOW’s native Android streaming stack across input, networking, video rendering, UI, packaging, and distribution. Optimize latency, quality, performance, reliability, and security across diverse devices and operating systems. Lead performance benchmarking, profiling, debugging, feature design, technical documentation, delivery planning, and cross-team coordination. Contribute to code reviews and collaborate with engineering, QA, and external Android partners.

Develop Python-based test frameworks and CI/CD automation for NVIDIA Metropolis AI and video analytics workflows. Build functional, integration, system, and end-to-end validation across cloud, data center, workstation, and edge platforms. Validate distributed microservices, GPU deployments, video search and summarization, AI agents, and computer vision pipelines. Benchmark accuracy, latency, scalability, and reliability while using Docker, Kubernetes, Helm, and AI-powered tools to improve testing, debugging, coverage, and regression analysis.

Build and optimize high-performance local AI inference software for NVIDIA RTX and DGX GPUs. Develop inference runtimes and execution stacks, optimize models and data pipelines using quantization, pruning, sparsity, and distillation, and perform system-level debugging and performance analysis. Collaborate with software, research, architecture, and product teams to improve scalability, stability, accuracy, and production readiness across language, vision, speech, and diffusion workloads.

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.