Top Tech Jobs & Startup Jobs in Pune

Lead end-to-end execution of NVIDIA's Windows Client AI software platform programs. Coordinate cross-functional teams, translate product strategy into engineering plans, manage risks and dependencies, collaborate with partners (Microsoft, OEMs, ISVs), and drive releases for AI frameworks, inference runtimes, model optimization, Windows integration, and developer tools.

Develop and optimize deep learning, graph, and ML techniques for GPU architectures; work with customers to deliver AI solutions; collaborate with architecture, research, libraries, and system software teams.

Design, architect, develop and debug native and para-virtualized Linux/QNX device drivers and Android HALs for NVIDIA DRIVE OS. Troubleshoot system-level issues, lead software architecture discussions, gather requirements, coordinate cross-functional teams, and participate in feasibility, safety evaluations, and product lifecycle activities to integrate DRIVE solutions into automotive platforms.

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 optimize on-device AI inference stacks for RTX and DGX systems: develop inference runtimes, optimize models and pipelines for low-latency/efficient memory use, perform system-level debugging and performance-accuracy analysis, and collaborate across software, research, and product teams to productionize local AI workloads.

Design and implement scalable cloud infrastructure and CI services on GitHub and Kubernetes to run millions of automated jobs. Work on job scheduling, resource management, automated recovery, metrics/alerting/storage services, and apply ML to improve performance. Collaborate across teams and time zones to deploy features across thousands of servers.

Lead enterprise customers in deploying Generative AI solutions, architect production systems, and mentor on AI Factory deployments while optimizing MLOps and inference processes.

Lead design, deployment and scaling of on-prem Kubernetes container infrastructure and CI/CD platforms. Build automation, observability, and analytics tooling; maintain OSS CI/CD (GitLab/GitHub/Jenkins); develop integrations, monitor metrics, and support data-center compute environments for Windows and Linux.

Develop platforms and software for Media & Entertainment and Broadcasting, focusing on Kubernetes deployment, networking, and automation within the GPU Software team at NVIDIA.

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.