Top Tech Jobs & Startup Jobs in Pune

Develop and integrate automation and UI tools for certification programs (HLK, HDMI, DP, ESXi, Google xTS). Build multi-agent, AI/ML-enhanced solutions, work with certification kits, debug certification issues, improve processes, and coordinate cross-functional teams to ensure certification-level product quality.

Design and implement compiler optimizations and features for NVIDIA CPUs, collaborate on hardware–software co-design, analyze AI/HPC workloads for performance improvements, contribute upstream to open source compiler projects, and develop high-performance compiler software targeting data center and supercomputing deployments.

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.

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.

Lead operational reliability for enterprise and data center networks: manage incidents, ensure high availability, partner on deployments, automate toil, monitor performance, perform RCAs/postmortems, and produce documentation and knowledge-base articles to improve network operations and SLOs.

Develop and improve GPU profiling libraries and Nsight tools, design metrics and data-collection methodologies, read HW specs to design solutions, write unit tests and support multiple platforms from supercomputers to embedded systems.