Top Tech Jobs & Startup Jobs in Pune

Lead operational readiness for NVIDIA Cloud Partners running large-scale GPU infrastructure. Build continuous validation, observability, automated detection and remediation, fleet lifecycle management, configuration management, and operational frameworks across Linux, Kubernetes, networking, storage, and AI workloads. Define health signals, SLOs, readiness criteria, runbooks, and reusable automation while collaborating directly with partner engineering and operations teams.

Develop and deploy large-scale AI solutions, distributed training and inference systems, and MLOps pipelines on cloud and NVIDIA platforms. Advise customers, diagnose full-stack machine learning issues, optimize performance, latency, cost, and reliability, support new hardware in open-source frameworks, and create open-source tools and reference architectures. Collaborate with infrastructure and accelerated-framework teams while communicating technical architectures and recommendations to engineering and leadership audiences.

Design, build, and optimize high-performance full-stack applications for web, desktop, mobile, and TV platforms. Develop responsive native and web interfaces using Angular, React, JavaScript, and related technologies; consume RESTful APIs; improve reliability, scalability, security, and cross-platform performance; create CI scripts; and collaborate with product, design, operations, and architecture teams.

Design, develop, and deploy AI-powered automation for hardware performance verification. Build intelligent tools and agents for test generation, regression detection, failure analysis, and corrective recommendations. Integrate LLM assistants, create verification data pipelines, establish impact dashboards, and collaborate with verification engineers. Apply generative AI, reinforcement learning, and formal methods to improve coverage, reduce cycle times, and increase productivity across complex GPU, CPU, memory, and HPC verification workflows.

Architect, build, and maintain enterprise AWS infrastructure using Terraform; develop and refine Jenkins CI/CD pipelines for zero-downtime releases; operate and optimize EKS/ECS, Lambda, and other services; implement proactive AI-driven observability; define SLOs/SLAs, lead incident response, and improve platform resilience and cost-efficiency.

Lead complex multimedia technology programs from strategy through delivery, managing plans, milestones, metrics, quality, risks, releases, and continuous improvement. Partner with software engineering, product management, OEMs, and cross-functional stakeholders to resolve technical challenges and deliver audio and video solutions. Provide technical leadership, communicate program status and risks, influence without authority, and drive root-cause corrective actions. The role focuses on software and hardware lifecycles, system architecture, and strategic execution in accelerated computing.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, isolate defects, perform root-cause analysis, improve code coverage, validate compatibility across products and interfaces, and support CI/CD testing. The role includes code reviews, test reporting, delivery prioritization, corrective actions, and collaboration with engineering leadership and cross-functional teams. This is a fully onsite position.

Develop AI-driven automated tests, tools, utilities, and frameworks for NVIDIA GPU device drivers and SDKs on Windows. Analyze test results, identify defects, perform root-cause analysis, measure code coverage, validate compatibility across hardware and interfaces, participate in code reviews, and report release readiness. The role also supports CI/CD testing, workflow improvement, corrective actions, task prioritization, and cross-functional collaboration.

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.