Top Tech Jobs & Startup Jobs in Pune

Lead incident response, threat hunting, cloud and product security investigations across corporate, cloud, and product environments. Conduct digital forensics, malware analysis, vulnerability investigations, and root cause analysis. Develop automated security response playbooks, improve threat detections using MITRE ATT&CK, and advise engineering and business teams on secure design, incident handling, policies, and security metrics.

Develop and optimize on-device AI inference stacks and runtimes for RTX and DGX systems. Collaborate with cross-functional teams to design high-performance, memory-efficient inference pipelines, apply model optimizations (quantization, pruning, distillation), perform system-level debugging and performance tuning, and build infrastructure for performance/accuracy evaluation and production readiness.

Design and optimize on-device AI inference stacks for RTX and DGX systems. Build inference runtimes, optimize models and pipelines (quantization, pruning), perform system-level debugging and performance-accuracy tradeoffs, and collaborate across software, research, architecture, and product teams to ensure production readiness.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Lead incident response, threat hunting, and forensic investigations across corporate, cloud, and product environments. Conduct cloud and container forensics, malware analysis, build detections and automation, collaborate with engineering to remediate vulnerabilities, and improve security posture using frameworks like MITRE ATT&CK.

Develop and improve GCC/LLVM and NVIDIA compilers for code hardening and security. Analyze source and assembly to find vulnerabilities, design countermeasures, implement industry-standard mitigations, and collaborate with compiler, hardware, and application teams to coordinate fixes and enhancements.

Design and develop low-latency, GPU-accelerated video streaming features; optimize encoder and GPU/CPU pipeline performance; build video quality measurement and analysis tools; integrate AI models for real-time video processing and adaptive streaming; and improve reliability, telemetry, and debugging for cloud-based streaming systems.

Architect, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, device management, I/O virtualization, and diagnostics for NVIDIA SoCs. Ensure safety and security compliance (ISO 26262/21434), apply formal methods, optimize platform performance, use AI-assisted tools, design tracing/logging solutions, and mentor junior engineers.

Lead research and development of state-of-the-art generative audio and multi-modal deep learning models; define technical roadmap; scale and optimize large foundation models on GPU clusters; develop audio-speech-visual fusion algorithms; productize and deploy optimized inference on NVIDIA GPUs/edge; collaborate across research, hardware, and product teams; mentor engineers and uphold code and design quality.

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.