Nvidia in India

NVIDIA IT Finance is looking for SAP FICO professional. The ideal individual for the team will have in-depth experience with SAP FICO modules and its integration to other systems. You will lead the effort to design, develop and implement SAP FICO solutions. This Resource will be working closely with key finance users and involved with application roadmap with fellow IT team members. What you'll be doing: Lead and support SAP FICO initiatives as team member and lead to implement new and improve existing functionalities. Articulate, analyze requirements, and translate them into effective solutions to support the future of Finance, responsible for the configuration of SAP FICO module. You'll mentor and support users and teammates on SAP FICO functionalities including understanding of configurations and transactions, guide global support team (MSP) where needed in daily production support. Key contact with the business users in different time zones to harmoniously work on the requirements to develop additional FICO functionalities. You will work with multi-functional/technical teams to prioritize the work and then drive system solutions by clearly articulating business needs and co-ordinate with teams to get development moving. Work with cross-functional teams to prioritize work and drive system solutions by clearly articulating business needs. Coordinate global teams to prioritize, complete projects, guide them in small to medium projects, and update Project Coordinator and team. Build Training documentation & impart training to end users, prepare scripts & conduct Unit Testing / User Acceptance Testing What we need to see: You will have a minimum of 12+ years of SAP ECC 6.0/S4/Fixed Assets/Tax/GL/Local Statutory Reporting experience focused on the FICO modules, Func

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

NVIDIA's Deep Learning GPUs have ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking to hire Senior System Software Engineer – AUTOSAR. Ideal candidate will have very strong programming skills, a good grasp of HW & SW Architectures, a solid exposure to AUTOSAR & related architecture, tools and frameworks. What you will be doing: Participate and provide inputs and recommendation into AUTOSAR Architecture evolution with design choices, tools and methodology Architectural explorations on both SW and HW fronts which include feasibility studies, quick prototyping, profiling, safety studies, data analysis and presentation of results Influence next-gen HW architectures and SW Architecture and design Drive complex technical issues to closure that may occur interacting with cross-teams What we need to see: BS/MS, or equivalent experience 5&#43; years of experience Strong programming skills in C/C&#43;&#43; and scripting skills in Perl, Python etc Good experience and com

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo

NVIDIA is seeking a highly enthusiastic and motivated Verification Engineer to verify the design and implementation of the next generation of control subsystems for the world’s leading GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We are united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.” What you’ll be doing: As a key member of our ASIC Verification team, you will contribute to verifying graphics and compute features within an IP. You will be responsible for IP-level verification of GPU ASICs, including the design, architecture, golden models, and micro-architecture, using advanced verification tools and methodologies. You will work with the specifications, develop test plans, tests and verification infrastructure using UVM methodology and ensure functional and code coverage of all the RTL which you will verify. Work with HW architects and designers to make the right implementation choices. You will be working with architects, designers, and other members of yo

We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and implement automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuously im

Are you ready to do your life’s work at the heart of the autonomous revolution? NVIDIA’s SWQA organization is seeking a world-class Software QA Test and Tool Developer to join our Automotive Platform team, where the code you validate ensures the safety of millions on the road. In this role, you won't just be testing software; you will be architecting the security and reliability of the next generation of intelligent vehicles. We are looking for engineers who are as comfortable navigating low-level product architecture as they are deep-diving into complex product use cases with passion for quality. This is a high-impact, hands-on position focused on our industry-leading automotive products, offering a rare opportunity to influence the core of our tech stack. You will also build the tools and frameworks that define performance standards for systems running on Linux and QNX. What you’ll be doing: Design, execute, and automate comprehensive test cases and test scenarios to validate our automotive platforms using various test methodologies to identify and track actionable defects and track them to closure. Participate in deep-dive reviews of product requirements and technical designs, providing critical feedback to ensure features are built for testability and security from day one. Partner closely with project management, hardware teams, and software developers to provide rigorous technical analysis of bugs and publish data-driven statistical reports for global team members. Architect and maintain a distributed test automation framework capable of managing high-concurrency workloads across an extensive automation farm of hundreds of concurrent systems. Develop sophisticated test libraries and automation solutions to accelerate development cycles and expand automated test coverage for re

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success. WHAT YOU'LL DO Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow), specifically integrating Pure Storage's FlashBlade, FlashArray, and Portworx as the high-performance data plane for data ingestion, training, and inference. Build High-Performance AI/ML Reference Architectures: Create validated, repeatable deployment models using Infrastructure as Code (e.g., Ansible, Terraform) for AI/ML environments spanning bare metal, virtual machines, and GPU-accelerated Kubernetes clusters, ensuring optimal performance for distributed training. Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput, low-latency model serving, utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization, model sharding like DeepSpeed/Megatron-LM, and dynamic bat