Opengl Jobs in Bengaluru

Android HMI Engineer Location: Bengaluru Experience: 4 10 years Job Description We are seeking a skilled Android HMI Engineer with hands-on experience in developing Android applications for automotive infotainment systems. The ideal candidate will have strong Java programming skills, a deep understanding of Android components, and expertise in UI/UX architectural patterns. Key Responsibilities Develop and maintain Android applications tailored for automotive infotainment platforms. Manage Android component lifecycles effectively to ensure optimal performance. Write clean, efficient, and maintainable code primarily in Java; Kotlin knowledge is a plus. Debug and troubleshoot using tools like Logcat, ADB, and other Android debugging utilities. Apply solid OOP concepts and design principles. Implement architectural patterns such as MVP, MVVM, and Observer to build scalable applications. Integrate third-party libraries, APIs, and Android SDK features into applications. Work proficiently with Android Studio IDE and related development tools. If you re passionate about automotive HMI development and want to work on cutting-edge infotainment systems, this is a fantastic opportunity to grow your career.

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

NVIDIA is searching for outstanding senior system software engineer to join the NVIDIA's automotive display driver team and help produce the next-gen groundbreaking products. The best candidates will have very strong C programming skills and validated understanding of Graphics systems software with clear understanding of Computer Architecture and OS fundamentals. In this position you'll have the opportunity to work on the latest innovative NVIDIA automotive platforms. We have a real passion for pushing the technology to its limit and creativity which will be fully tested and applied here. You will closely work with experts from display and adjacent domains in system software, hardware across NVIDIA to build the best products in the segment. What you'll be doing: Define, design, develop, test and maintain our GPU/Display kernel mode drivers and embedded firmwares. Candidate will have an opportunity to work across multiple operating systems, e.g. Linux, Android, QNX. Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs. What we need to see: BS or equivalent experience in Computer Science or related field. 10+ years of experience developing system software and kernel mode drivers in one or more of the Linux, QNX or Android operating systems. Skilled control over C programming to develop multi-threaded complex kernel mode drivers. Excellent understanding of computer architecture, operating systems concepts, memory management, and concurrency. Experience in graphics device drivers will be a distinguisher. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience working in Linux DRM-KMS (Kernel Mode Setting) subsystem. Conceptual understanding of user-space compositors, e.g. Android HWC, Wayland Compositor, QNX Screen etc. Experience working with display protocols, e.g. HDMI, Display Port. Qualification : BS or equivalent experience in Computer Science or related field.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

We are looking for a System Software Architect Programmable Vision Accelerator. As the market leader in deep learning and parallel computing, NVIDIA is seeking an expert system software architect to lead the design and implementation of firmware and driver stack for NVIDIA's Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. As a Software Architect, you will join a team of software engineers to create and evolve an essential part of the software stack responsible for scheduling and execution of highly optimized computer vision and machine learning kernels for specialized DSP hardware. You will use your design abilities, coding expertise, and creativity to help deliver innovative real-time firmware and kernel mode drivers for a low power, high performance computer vision accelerator engine. You will be architecting and developing new features and improvements to realize the groundbreaking potential of NVIDIA mobile systems, ranging from self-driving cars, intelligent video analytics and autonomous mobile robotics. You will need to demonstrate excellent technical leadership, communication, interpersonal, and analytical skills as well as a real passion for performance-oriented software engineering. If this sounds like a fun challenge, we want to hear from you! What you will be doing: Evolve and define software architecture for future NVIDIA's Programmable Vision Accelerator (PVA) chips and enhance the functionality of currently shipping products. Design and write custom embedded software for PVA engine to meet product and hardware requirements at the SoC level. Help defining forward-looking strategy and improvements to the PVA algorithms and system architecture. Review hardware specifications and map algorithms to the architecture. Participate in the bring-up of the new generation of the world's most advanced SoC. Collaborate closely with other teams and software/hardware architects across NVIDIA to support the architecture, design, creation, integration, and validation of PVA software under a common SoC umbrella. Provide technical support and guidance for internal and external customers. Mentor and guide technical development of the less experienced team members What we need to see: College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience 10+ years of working experience in embedded industry, including 5+ years in technical leadership role Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling. Deep understanding and working experience with embedded technologies including DSP, computer vision and image/signal processing. Excellent software development skills (C, C++) and outstanding problem-solving capabilities. Proven expertise in architecting embedded software and development of highly optimized code for DSP, SIMD and/or VLIW processors Experience with embedded Linux and/or QNX. Outstanding interpersonal skills with ability to work in a global and diverse team operating in a fast-paced environment. Good understanding of safety-critical software principles with experience in automotive or other highly regulated industries Ways to stand out from the crowd: Experience with ISO 26262 and IEC 61508 or equivalent quality/safety processes. Understanding of software safety and safety development processes is a major plus. Consistent record to effectively guide and influence in a technically strong dynamic environment. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. Qualification : College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

Intel is looking for talented Network Software engineers to develop and maintain Ethernet Switch Software solution. This can include modifying and customizing embedded OS, creating scripts for features such as configuring ports, routing tables, QoS etc. As a Network Software Engineer, you will be responsible for developing and validating switch software at individual switch level and at scale for different network topologies. Qualifications Must possess a Bachelor's, Master's or, a Ph.D. degree in Computer Science, Computer Engineering or equivalent. 5years of experience working in Network Software Development Experience in Network Management Software development using openconfig. Experience in programming in C/C+ and Go/Python Familiarity with Linux virtualization/containers (Dockers) Experience with system configurations and troubleshooting networks Strong understanding of network protocols such as TCP/IP, VLAN, QoS etc Familiarity with Ethernet Network switching and routing Working knowledge in the software engineering development lifecycle process Must have: CI/CD experience with writing test cases Must Have: Experience in System Integration (understand how whole system work) Good to Have: open config, yang model, sonic, gRPC, gnmi. Inside this Business Group The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Qualification : Must possess a Bachelor's, Master's or, a Ph.D. degree in Computer Science, Computer Engineering or equivalent.

Job Title: Software Engineer C++ Location: Bengaluru Overview: We are seeking a highly capable and detail-oriented C++ Software Engineer to join our core development team in Bengaluru. This role requires strong expertise in C++ across both Windows and Linux environments, with a focus on performance optimization, multithreading, and scalable architecture design. The ideal candidate will have hands-on experience in high-throughput systems such as image processing pipelines or neural network-driven applications. Key Responsibilities: Develop and maintain high-performance C++ applications for Windows and Linux platforms. Optimize processing cycles and memory usage for large-scale image pipelines (e.g., 1 GB/sec camera data). Design and implement robust object-oriented software architectures emphasizing scalability and modularity. Work with multi-threaded programming libraries such as pThreads, OpenMP, and OpenCL. Translate, implement, and optimize DSP algorithms and/or neural network architectures. Build, maintain, and distribute DLLs and static libraries. Design and document API architectures for internal and external integrations. Utilize state machine architecture for structured process flow when required. Implement and maintain test frameworks to ensure code quality and performance. Follow best practices throughout the software development lifecycle, including code reviews and CI/CD. Maintain clear documentation and write clean, readable, and maintainable code. Required Skills & Experience: Proven C++ expertise on Windows and Linux platforms. Strong knowledge of object-oriented programming, design patterns, and modular code design. Experience with multi-threaded programming and parallel architecture design. Proficiency in API development and system integration. Experience building and managing shared and static libraries. Skilled in algorithm optimization, especially for image processing or neural network use cases. Familiarity with software lifecycle best practices, agile methodologies, and version control. Strong commitment to documentation and code quality. Preferred Qualifications: Exposure to state machine architecture. Experience with DSP or image processing algorithms. Understanding of test-driven development and CI frameworks.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure or related areas Experience building and operationalizing machine learning models. Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Preferred qualifications: Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist AI use cases. Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs. Excellent communication, presentation, and teamwork skills. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP. Qualification : Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

Job Title: Senior Networking Developer (System/Protocol Level) Location: Bangalore Experience: 6+ Years Job Overview We are seeking an experienced Senior Networking Developer with deep expertise in developing, optimizing, and troubleshooting high-performance networking systems and protocol stacks. In this role, you will be responsible for designing, implementing, and maintaining network solutions at both the system and protocol levels, focusing on high efficiency and performance in modern networking environments. Key Responsibilities Networking Protocol & System Development: Design and implement networking protocols at the system level, ensuring efficient, high-performance networking solutions. Protocol Stack Development: Work with L2/L3 protocols (Ethernet, ARP, IP, ICMP) and L4 protocols (TCP, UDP), enhancing their implementation and performance. Advanced Networking: Leverage your knowledge of advanced networking concepts such as Quality of Service (QoS), load balancing, and multicast to improve network performance and scalability. Linux Networking Subsystems: Contribute to the optimization and development of Linux networking subsystems like netfilter, iptables, and eBPF. Kernel-Level Development: Work on kernel-level networking stack optimization, focusing on high-performance and low-latency solutions. Troubleshooting & Debugging: Use network diagnostic tools (Wireshark, tcpdump, strace, gdb) to troubleshoot and resolve issues at all OSI layers, ensuring network reliability and performance. Collaboration: Collaborate with cross-functional teams to address complex networking challenges and implement solutions that meet business and technical objectives. Required Skills & Qualifications Technical Expertise: Strong experience in networking protocol or system-level development. Proficiency in C or C++ for low-level systems programming and optimization. In-depth knowledge of networking protocols, including L2/L3 (Ethernet, ARP, IP, ICMP) and L4 (TCP, UDP). Familiarity with advanced networking concepts such as QoS, load balancing, and multicast. System-Level Knowledge: Experience with Linux networking subsystems, such as netfilter, iptables, and eBPF. Hands-on experience in kernel-level networking stack development and optimization. Debugging & Analysis: Expertise with network diagnostics tools like Wireshark, tcpdump, strace, and gdb. Strong troubleshooting skills at all OSI layers. Preferred Skills High-Performance Networking: Experience with high-performance networking technologies to enhance scalability and network throughput. Programmable Network Devices: Experience working with programmable network devices and integrating them into modern network architectures. SDN (Software-Defined Networking): Familiarity with SDN controllers and protocols like OpenFlow, and their integration in modern networking solutions. As a Senior Networking Developer, you will be at the heart of building cutting-edge networking solutions, contributing to high-performance network infrastructures. This role offers the opportunity to work with the latest networking technologies in a dynamic and collaborative environment. If you're passionate about networking and system-level programming, we encourage you to apply.

Job Description At Cisco, we are a global leader in networking and IT, driving innovation and redefining how people connect, communicate, and collaborate. Our mission is to shape the future of the internet by creating outstanding value and opportunity for our customers, employees, investors, and ecosystem partners. We are committed to fostering a diverse and collaborative environment where everyone can thrive and contribute to our collective success. What You'll Do As a CVT Solution Qualification Engineer, you will work alongside a dedicated, dynamic, and hardworking team to qualify and automate key technologies and solutions for deployment in high-end Cisco Web and Service Provider customer environments, impacting millions of users globally. Your responsibilities will include: Designing, automating, configuring, and qualifying customer use cases based on IOS-XR for ASR9K, NCS5500, NCS5000, and 8000 platforms. Generating test plans and dynamically prioritizing tasks based on customer needs. Developing test frameworks, tools, and web-based GUIs to support the execution environment and display analytics and machine learning-driven insights. Driving manual and automated test execution, raising, tracking, prioritizing, and verifying defects and fixes. Proactively seeking improvements in test coverage, execution, and automation, optimizing performance and configuration. Reproducing customer issues in internal test labs as requested by customer support teams. Generating test execution reports and technical whitepapers. Collaborating with cross-functional teams across multiple continents. Who You'll Work With As a senior member of this team, you ll work alongside a skilled group of engineers passionate about learning new technologies. The team consists of individuals with various years of experience, ranging from 3 to over 20 years, all of whom bring exceptional value to the table. Our team has a global presence with members located in the US, Canada, and India. You will also have opportunities to interact with groups such as Product Management, Marketing, Sales, Customer Support, Advanced Services, and the Customer Team. Who You Are You have a passion for qualifying and automating SP/web networking solutions and use cases to ensure smooth deployment for our customers. You have hands-on experience with qualifying, deploying, troubleshooting, and maintaining SP/web networking technologies, particularly XR platforms. Minimum Qualifications Bachelor s degree in Computer Science with 8+ years of professional experience or a Master s Degree in Computer Science with 6+ years of professional experience. Experience with Networking Automation, Software Quality Assurance, protocol testing, and supporting Web/Service-provider customers. Experience with routing hardware/platforms/forwarding architecture and networking technologies. Hands-on experience with Python automation. Preferred Qualifications CCIE certification (Routing & Switching / Service Provider / Data Center). Experience with platforms such as ASR9K, NCS5500, NCS5000, NCS540/NCS560, NCS6K, CRS, 8000. Experience with OpenFlow, Netconf, and REST API. Experience with network automation tools such as pyATS, Ansible, Jenkins, and Cisco NSO. Experience with CentOS, Redhat, Ubuntu UNIX/Linux and expertise in Bash/Unix Shell Scripting. Experience in configuring/fixing protocols such as ISIS/OSPF, BGP, L2/L3 VPN, EVPN, Segment Routing, IPv6, MPLS-LDP/RSVP-TE, Multicast, SNMP, Telemetry, gNMI, gRPC, Netconf & OpenConfig Yang Models. Why Cisco? #WeAreCisco At Cisco, we believe in the power of diversity and bringing our talents together to make a difference. We focus on developing innovative technology and powering a digital future for all. Cisco is a leader in the internet revolution, helping organizations around the world whether in health services, education, or business connect, collaborate, and succeed. We empower our employees to innovate, giving back to the community with paid volunteer days and supporting one another through both personal and career milestones. Join us, and bring your unique self to a place where passion for technology and world-changing ideas thrive. Qualification : Bachelors degree in Computer Science with 8+ years of professional experience or a Masters Degree in Computer Science with 6+ years of professional experience.