דרושים ב-Nvidia ב-India, Hyderabad

What you'll be doing:

• As a member in our team, you will be responsible for the design and implementation of state-of-the-art designs in test access mechanisms, memory BIST and scan compression.

• Your responsibility will also include verification and silicon bringup of Scan ATPG and other DFT features.

• In addition, you will help develop and deploy DFT methodologies for our next generation products.

• Be apart of innovation to strive improve the quality of DFT methods.

• You will also need to work with multi-functional teams to incorporate DFT features into the chip.

• Occasional travel and also some late hours online meetings involved during critical milestones.

What we need to see:

• BSEE or MSEE from reputed institutions or equivalent experience.

• 2+ Years of experience preferably in Design for testability (DFT)

• You should be well versed with static timing Analysis, ECO, ASIC/Logic Design Flow, HDL and Digital logic design.

• Experience in RTL and Gates verification and simulation.

• You need to be familiar with BIST architecture andJTAG/IEEE1149.1/IEEE1500.

• Strong DFT knowledge in Scan ATPG, compression techniques and memory test.

• Strong analytical and problem solving skills.

• Expert coding skills in industry standard scripting languages.

• Extraordinary written and oral communication skills with the curiosity to work on rare challenges.

What you'll be doing:

• Improve existing software by debugging, analyzing, and providing solutions to complex issues related to display technologies.

• Define, design, develop, test and maintain kernel drivers and embedded firmwares with a focus on performance, security, scalability and user experience.

• Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs.

• Collaborate with forward-thinking and motivated engineers around the world as an equal member of a multi-site team.

• You will influence hardware architecture and system software by creating architecture and design specifications.

What we need to see:

• 10+ years of "hands on" experience developing system software and graphics drivers for the Linux based operating systems.

• BS or MS degree (or equivalent experience) in Computer Engineering, Computer Science, or a related field.

• Detailed knowledge of Linux kernel internals and low-level system programming.

• Strong understanding of computer architecture, operating systems design, memory management, concurrency and device drivers.

• Outstanding C programming and low-level driver experience.

• Strong communication, interpersonal and planning skills.

Ways to stand out from the crowd:

• Detailed knowledge of Linux Kernel's DRM subsystem and hands-on experience with KMS and DRM memory management.

• Experience with display standards such as HDMI, Display Port etc.

• Experience in pre-silicon, bring-up and post-silicon phases of sophisticated chips.

What you’ll be doing:

Join NVIDIA's remarkable PCIe Driver engineering team and play a pivotal role in architecting, crafting, developing, and verifying innovative solutions. As a Senior System Software Engineer, you will:

• Craft and build a software stack consisting of drivers and middleware in PCIe, following Automotive Safety processes from Requirements, Design, Coding, Safety Analysis, to Testing.

• Efficiently implement drivers, protocols, and applications to deliver high efficiency and low latency with minimal CPU utilization.

• Collaborate with multi-functional teams to bring-up PCIe IP on new platforms and SOC's.

• Provide world-class support to customers, enabling them to seamlessly integrate our solutions into their platforms.

• Engage in a relevant, growing, and highly professional environment where your impactful contributions drive technological advancements.

What we need to see:

To excel in this role, you should possess:

• A Bachelor's or higher degree inElectrical/Electronics/ComputerScience Engineering, or equivalent experience.

• 5+ years of proven experience in embedded system software development.

• Practical knowledge in design, development, system level debugging of PCIe protocol, DMA, Cache, Interrupts related low level software in Linux or QNX.

• Confirmed expertise in programming with strong skills in C, C++, algorithms, data structures, and hands-on debugging.

• Detailed understanding of OS concepts in application space and kernel space,multi-processor/threading,memory management, I/O technology, virtualization concepts. Hands-on experience working with ARM and/or x86 platforms.

• Proficiency debugging embedded software systems. Analytical and optimization skills using Linux, QNX, or other real-time operating systems.

Ways to stand out from the crowd:

• Understanding of system level architecture, interconnects, memory hierarchy, interrupts, and memory-mapped IO.

• Experience in writing and debugging multithreaded, multi-process system level programming in Virtualization environment on any SoC architecture.

• Preferably, experience in the automotive domain, software process areas, and automotive safety standards such as ASPICE, ISO26262, and MISRA-C.

• Experience with scripting, code instrumentation, static code analysis tools, testing, and code coverage frameworks.

What You’ll Be Doing

• Analyze extensive structured and unstructured datasets to uncover trends, anomalies, and actionable insights.

• Design, develop, and deploy machine learning and AI models to tackle real-world business challenges.

• Build robust data pipelines and analytics dashboards to support data-driven decisions across teams.

• Mentor and provide technical guidance to team members on standard processes for data science and methodologies.

• Work with collaborators to gather requirements, define problem statements, and convert business needs into technical solutions.

• Communicate complex results to technical and non-technical audiences through presentations, reports, and visualizations.

• Ensure the quality, integrity, and security of data throughout analytical processes.

• Identify and implement opportunities for continuous process and system improvement within the analytics function.

What We Need to See

• Bachelor’s or Master’s degree in Computer Science or closely related field, or equivalent experience will be considered.

• 7+ years of hands-on experience in data analysis, preferably with exposure to large-scale datasets.

• Strong proficiency in Python and experience with data analysis and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).

• Shown proficiency with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and model lifecycle from development to deployment.

• Proven grounding in statistics, regression, classification, clustering, and related analytical methods.

• Knowledge of SQL and experience with large-scale data extraction and manipulation.

• Ability to quickly gain domain knowledge and apply analytical skills within that context.

• Outstanding communication, documentation, and interpersonal skills; ability to work effectively in a multi-functional, globally distributed team.

• Strong analytical thinking, problem-solving abilities, and a proactive, self-motivated approach.

Ways to Stand Out from the Crowd

• Proficient in data analysis of extensive datasets.

• Familiar with global low-latency cloud based streaming services and their networking challenges

• Proven experience in C++ software development, optimization, and debugging.

• Knowledge in the computer networking or WiFi networks.

What you'll be doing:

• Design, implement, and maintain highly available and scalable SAP environments, including S/4HANA, BW/4HANA, and SAP BTP.

• Develop and enhance observability capabilities within the SAP landscape, focusing on actionable operational metrics and insights.

• Perform system performance tuning across SAP application servers, HANA databases, and the underlying infrastructure.

• Define, monitor, and continuously improve SLIs and SLOs to ensure SAP service reliability and customer satisfaction.

• Automate operational tasks, monitoring, and configuration using Python, Shell scripting, and tools like Ansible.

• Collaborate with SAP Basis, infrastructure, and application teams to address and resolve complex system issues.

• Conduct root cause analysis and lead post-incident reviews to drive continuous improvement and prevent recurrence.

• Create and maintain system standards and consistency, including SSO certificates, system parameters, and configuration baselines.

• Implement and enforce policies and procedures to ensure compliance and operational integrity.

• Continuously optimize SAP and database performance, identifying areas for improvement and implementing standard methodologies.

What we need to see:

• Bachelor’s degree in computer science or a related field.

• 10+ years of experience in Site Reliability Engineering, DevOps, or SAP Basis roles with a focus on system reliability and performance.

• Strong scripting skills in Python, Bash, or similar languages for automation and tooling.

• Good understanding and hands-on experience with Linux or other Unix operating systems.

• Familiarity with CI/CD practices and deployment automation.

• Strong hands-on experience with SAP systems (S/4HANA, HANA DB, NetWeaver, SAP BTP).

• Deep understanding of SAP NetWeaver, transports, batch processing, and interface architecture.

• Proficiency in SAP performance tuning, including HANA memory management, SQL plan analysis, and ABAP runtime optimization.

• Hands-on experience in automation, configuration, and deployment on AWS, including EC2, CloudWatch, CloudFormation, and security groups.

• Knowledge of DevOps practices such as Continuous Integration and Deployment.

Ways to stand out from the crowd:

• Demonstrated operational excellence in running SAP systems in public cloud environments (e.g., AWS, Azure, GCP).

• Proven expertise in advanced database performance tuning, especially for HANA and other enterprise-grade platforms.

• Remarkable ability to fix and resolve complex performance, architectural, and process-related issues across SAP landscapes.

• Professional certifications in SAP, AWS, databases, ITIL, and/or PMP, showcasing a commitment to continuous learning and industry best practices.

• Good understanding of AI/ML tools and a demonstrated ability to apply them effectively within the scope of SAP Basis and system operations.

What you’ll be doing:

• Developing and validating software for our next-generation SOC platform.

• Solve and debug problems related to Memory, ACPI, Graphics, and Display to support our customers, partners, and users.

• Investigating and scoping out the architecture requirement for the next-generation SOC systems.

• Investigate and debug hard hangs across various system components (CPU, memory, I/O).

• Collaborate closely with hardware, firmware, and OS teams to isolate root causes.

• Utilize hardware debug tools (e.g., JTAG) and software diagnostics.

• Collect and analyse crash dumps, logs, and signal traces.

• Support validation and bring-up activities for new hardware platforms.

• Provide feedback for design improvements.

What we need to see:

• Master’s degree in computer science, Computer Engineering or equivalent experience

• 7+ years of experience

• Strong C programming skills as well as having shown initiative in pursuing independent coding projects

• Solid engineering background and understanding of good code methodology

• Experience writing code to directly control hardware is a plus

• Good foundation and knowledge of OS & RTOS concepts.

• Develop and maintain kernel-mode drivers for Linux and WDDM-compliant drivers for Windows.

• SOC platform engineering,development/integration/bringup

• Excellent problem-solving and cross-team collaboration skills

Ways to stand out from the crowd:

• SOC System level understanding and good knowledge of tools like windbg, gdb, kernel tracing utilities.

• Familiarity with graphics/display subsystems, DMA, interrupt handling, and memory management.

• Proficient in navigating the functionalities of diverse IPs within the SOC platform, backed by a robust knowledge of memory management and coherency principles