Top Tech Jobs & Startup Jobs in Pune

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.

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.

Lead SAP MM/PP master data architecture, governance, integration, automation, and lifecycle management for semiconductor supply chain and production data. Manage materials, BOMs, routings, production versions, and engineering change records; integrate SAP PLM with ERP; support planning systems, custom enhancements, data migration, and ECC-to-S/4HANA transformation. Partner with business and technical teams to deliver governed, scalable solutions and improve data quality through automation and AI-enabled platforms.

Leads complex technical programs across NVIDIA’s global e-commerce platform, including feature delivery, catalog management, product launches, agentic commerce, and regional expansion. Coordinates engineering, operations, product, campaign, and business teams; manages requirements, schedules, risks, metrics, and executive communications. Drives revenue growth, conversion optimization, shopper-journey improvements, platform scalability, and continuous improvement through automation, experimentation, and data-driven decisions.

Design, develop, and verify security and platform features for NVIDIA GPU controllers. Perform firmware and middleware security analysis, threat modeling, code reviews, fuzzing, static and dynamic analysis, and negative testing. Validate security through simulation, emulation, silicon bring-up, and production deployment. Collaborate with hardware, firmware, and system software teams while applying secure coding practices and AI-assisted development tools.

Design, implement, and debug kernel-mode software, GPU drivers, and embedded software for NVIDIA GPU and SoC products. Take next-generation hardware from development through production, including emulation, bring-up, performance and power optimization, and product hardening. Collaborate with hardware and software teams globally while solving complex system-level problems across datacenter, desktop, notebook, workstation, and gaming platforms.

Design, implement, debug, and optimize kernel-mode GPU and platform power-management software. Develop DVFS, power-state, residency, thermal, and performance features; bring up and harden kernel and firmware components across SoCs, PMUs, regulators, and operating systems. Support emulation, silicon validation, product hardening, and global collaboration across hardware, firmware, OS, and platform teams for next-generation NVIDIA processors.

Leads a distributed team responsible for power profiling, measurement infrastructure, regression monitoring, battery-life validation, and release qualification across NVIDIA platforms. Owns instrumented labs, device fleets, power analytics, automated regression farms, energy-compliance evidence, and cross-company methodology alignment. Drives power analysis from pre-silicon modeling through production, resolves power gaps with hardware and software teams, and provides qualification data for product release decisions.