Top Tech Jobs & Startup Jobs in Pune

Develop and productize NVIDIA DRIVE OS software for automotive platforms. Responsibilities include shaping AUTOSAR architecture, evaluating software and hardware designs, prototyping, profiling, safety analysis, data analysis, and influencing next-generation architectures. The engineer will also resolve complex cross-team technical issues and work with AUTOSAR stacks, MCALs, CDDs, and software components across multiple microcontroller platforms.

Design, develop, optimize, debug, and maintain features for NVIDIA GPUs. Collaborate with teams, resolve customer issues, and improve documentation.

Lead strategic partner engagement with major Indian conglomerates to identify, design, and scale enterprise AI workloads. Build executive and technical relationships, coordinate cross-functional NVIDIA teams, run workshops and architecture reviews, develop repeatable use cases, and capture account requirements and product feedback to deliver deployable, scalable AI outcomes across cloud, data center, edge, and industrial environments.

Build and maintain cloud-native deployment platform: backend microservices, CRDs/operators, GitOps pipelines, staging environments, multi-cloud and bare-metal automation, CI/CD integrations, monitoring and automated remediation for zero-downtime global rollouts.

Develop AI-driven automated tests, Python tools, and frameworks for NVIDIA GPU drivers and SDKs across Linux systems. Analyze test results, debug defects, improve code coverage, validate compatibility across hardware and interfaces, and support CI/CD testing. The role requires expertise in operating systems, PC hardware and I/O architecture, databases, software quality assurance, and collaborative code review. This is a fully onsite position.

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.

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.

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.

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.