Top Tech Jobs & Startup Jobs in Pune

Develop and improve NVIDIA's GPU assembler and disassembler tools, collaborate with GPU architecture and debugger/profiler teams, ensure high-quality code generation and performance for HPC/DL/autonomous workloads, and engage with customers to gather feedback and drive product improvements.

Design, build, and operate a Kubernetes-based platform for global network infrastructure. Own cluster lifecycle, provisioning, upgrades, GitOps delivery, observability, capacity, and recovery. Develop automation, provide production support and on-call incident response for network services, and drive issues from detection through verified resolution.

Build and optimize on-device AI inference stacks for RTX and DGX systems. Design inference runtimes and execution stacks, optimize models and pipelines (quantization, pruning, sparsity), perform system-level debugging and performance-accuracy tradeoffs, and create infrastructure for performance sweeps and production readiness across various ML workloads and hardware.

Lead design, operation, and reliability of large-scale AI/HPC clusters. Manage day-to-day operations, incident response, automation, performance tuning, scheduler and storage optimization, and collaborate with researchers and global teams to improve GPU-accelerated infrastructure.

Lead cross-functional teams at a contract manufacturer to resolve quality events, perform root-cause analysis, control test yield, provide onsite test support and training, and bridge hardware, firmware, and manufacturing for high-volume production.

Lead root-cause and failure analysis for board-level hardware, develop corrective/preventive actions, run DOE and OCAP, drive continuous manufacturing improvements, mentor teams, and document best practices to improve yield and resolve recurring production issues.

Design, implement, validate, and debug system software enabling high-performance GPU-to-GPU communication and platform bring-up. Drive feature enablement, performance optimization, reliability, and cross-team collaboration for NVLink-based GPU fabrics and rack-scale AI/HPC systems.

Develop and maintain DirectX Graphics Drivers for NVIDIA GPUs, focusing on OS and chip graphics features, quality improvement, and AI-based automation solutions.

The role involves designing and maintaining AI/HPC infrastructure, focusing on large-scale networking projects, performance monitoring, troubleshooting, and customer interaction.

Design and develop safety- and security-compliant system software for the NVIDIA DRIVE automotive platform. Perform bring-up for next-gen Tegra SoC, architect scalable unified OS solutions, and debug complex interactions across the DRIVE software stack.