6 Nsight Jobs

???? Hiring: C++ Developer | Contract | Mumbai (Kandivali) ???? Location: Kandivali, Mumbai (Work from Office) ???? CTC: ?1415 LPA ????? Experience: 45 Years ? Notice Period: Immediate joiners (Max 10 Days) ???? Client: ACG World ???? Responsibilities Develop and maintain high-performance applications using modern C++ and CUDA Design and optimize parallel algorithms for GPU acceleration Identify and resolve performance bottlenecks Collaborate with teams to deliver scalable, robust solutions Conduct code reviews and create technical documentation ???? Required Skills Strong proficiency in modern C++ (C++11/14/17/20) Expertise in CUDA programming & GPU optimization Solid understanding of parallel computing & multi-threaded programming Strong problem-solving & analytical skills Experience with debugging/profiling tools (e.g., Nsight , CUDA Memcheck ) ? Only Mumbai-based candidates will be considered ? Urgent hiring Interviews ongoing daily! ???? Apply now or share your CV at [HIDDEN TEXT] with subject C++ Show more Show less

Job Title: C++ Developer Contractual | Immediate Joiner | Mumbai (Onsite) Job Description: We are hiring for a C++ Developer position for one of our esteemed clients, a leader in device integration and high-performance computing. This is a 1-year contract-based opportunity with the potential for extension or permanent absorption based on performance. The role is onsite at Kandivali, Mumbai, and is open strictly to local candidates who are available to join within 20 days. The ideal candidate will be a passionate and experienced developer with end-to-end C++ development expertise, along with proficiency in CUDA programming, GPU performance tuning, and parallel computing. You will be working on real-time, high-performance applications and GPU-accelerated tasks, collaborating closely with software engineers and researchers to bring innovative solutions to life. Key Responsibilities: Develop and maintain high-performance software applications using modern C++ (C++11/14/17/20). Design and implement GPU-accelerated algorithms using CUDA to optimize system performance. Optimize CUDA kernels for memory efficiency, scalability, and overall performance. Conduct code reviews to ensure adherence to best practices and clean coding standards. Create and execute test plans to validate performance and functionality. Analyze and troubleshoot performance bottlenecks using appropriate debugging and profiling tools. Collaborate with cross-functional teams including product development, QA, and R&D to deliver robust and reliable software. Provide technical mentorship to junior developers as needed. Maintain clear and comprehensive documentation for all software components and processes. Required Skills & Experience: 4 to 5 years of hands-on experience in C++ software development. Strong command of modern C++ standards (C++11/14/17/20). Proven experience with CUDA programming and developing GPU-accelerated solutions. Good understanding of parallel computing, multithreading, and GPU architecture. Experience with CUDA optimization techniques: memory hierarchy, streams, warp-level primitives, etc. Familiarity with tools such as Nsight, CUDA Memcheck, or other debugging/profiling utilities. Strong analytical and mathematical skills including knowledge of linear algebra and numerical methods. Job Details: Location: Kandivali, Mumbai (Only local candidates will be considered) Work Mode: Work From Office (No hybrid/remote options) Type: Full-time, Contractual 1 Year Notice Period: Immediate joiners or max 20 days Why Apply Opportunity to work on cutting-edge CUDA and high-performance computing projects. Exposure to a highly technical and collaborative environment. Chance for contract-to-hire based on performance. Note: This role is strictly for candidates who are currently based in Mumbai and can join on short notice. Profiles from other locations will not be considered. Key Skills: C++, CUDA, GPU Programming, Parallel Computing, Multithreading, Nsight, Memory Optimization, High-Performance Computing, CUDA Kernel Development

As an AI Infrastructure Engineer at Cisco, you will join an innovative team with a mission to revolutionize how enterprises utilize AI. Operating with the agility of a startup and the focus of an incubator, we are building a close-knit group of AI and infrastructure experts. Our team is driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what is possiblefaster, leaner, and smarter. In this dynamic environment, where experimentation is abundant and new technologies are not just welcome but expected, you will collaborate with seasoned engineers, architects, and thinkers. Together, we craft iconic products that have the potential to reshape industries and unlock entirely new operational models for enterprises. If you are energized by solving challenging problems, enjoy pushing the boundaries of what is achievable, and aspire to shape the future of AI infrastructure, we are eager to meet you. Your role as an AI Infrastructure Engineer at Cisco will be instrumental in designing and implementing next-generation AI products. You will be focused on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. Your work will directly impact the performance, efficiency, reliability, and availability of AI systems for Cisco's customers, as well as drive advancements in AI and machine learning infrastructure. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless configuration and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, utilizing CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree or higher and a minimum of 5 years of relevant engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. At Cisco, we are dedicated to fostering an inclusive future where every individual brings their unique skills and perspectives together. Our employees celebrate diversity and focus on unlocking potential. We prioritize learning and development at every stage, offering opportunities for growth and multiple career paths. Our technology, tools, and culture support hybrid work trends, allowing everyone to excel and thrive. As a company, we recognize our responsibility to bring communities together, and our people are at the heart of that mission. One-third of our employees collaborate in our 30 employee resource organizations, known as Inclusive Communities, to connect, foster belonging, advocate for inclusivity, and make a positive impact. We provide dedicated paid time off for volunteering, allowing our employees to give back to causes they are passionate aboutnearly 86% of our employees actively participate. At Cisco, our purpose is driven by our people, making us a global leader in technology that powers the internet. We help our customers reimagine their applications, secure their enterprise, transform their infrastructure, and achieve their sustainability goals. Every step we take is a step towards a more inclusive future for all. Join us in taking your next step and being your authentic self with Cisco.,

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible faster, leaner, and smarter. We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Cisco is seeking a forward-thinking AI Infrastructure Engineer to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem. As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact: - The performance and efficiency of AI workloads on the node. - The reliability and availability of AI systems for Cisco's customers. - Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries. - Collaboration across internal teams to bring system-level innovation across different Cisco products. Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community. Key Responsibilities: - Design and develop node-level infrastructure components to support high-performance AI workloads. - Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs. - Minimize downtime through seamless config and upgrade architecture for software components. - Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators. - Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance. - Work with distributed system fundamentals to ensure scalability, resilience, and reliability. - Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals. Minimum Qualifications: - Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF. - Strong understanding of Linux operating systems, including user space and kernel-level components. - Experience with Linux user space development, including packaging, logging, telemetry, and lifecycle management of processes. - Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs). - Strong debugging and problem-solving skills for complex system-level issues. - Bachelor's degree+ and relevant 5+ years of Engineering work experience. Preferred Qualifications: - Linux kernel and device driver hands-on expertise is a plus. - Experience in GPU programming and optimization, including CUDA, UCX is a plus. - Experience with high-speed data transfer technologies such as RDMA. - Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI. - Nvidia MIG and MPS concepts for managing GPU consumption. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection we celebrate our employees" diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,

Duration : 1-year contractual position Location-Remote Notice Period : Within 20 days Education : B.Tech, B.E Interview Process : 1st- Technical, 2nd - Technical round & 3rd - HR Round Mandatory : End-to-end C++ skills Skills Required : - C, C++ - Qt/QML - OOPs - STL, Data Structures - JavaScript - Automotive Product Development - Android Application Development - Java - API - GitLab CI/CD - GitHub, Gerrit - Jira, Zoho - PostgreSQL, SQLite, JSON - MVVM Architecture - Testing - Debugging - Linux, Unix Job Description : We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products. Primary responsibilities : Software Development : - Develop and maintain high-performance applications using C++ and CUDA. - Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization : - Optimize CUDA kernels for performance, scalability, and memory efficiency. - Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing : - Conduct code reviews to ensure adherence to coding standards and best practices. - Develop and execute test cases to validate functionality and performance. Collaboration : - Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. - Provide technical guidance and mentoring to junior team members when necessary. Documentation : - Write and maintain technical documentation, including design specifications and user manuals. Required Skills : - C++ : Strong proficiency in modern C++ (C++11/14/17/20). - CUDA Programming : Extensive experience in developing, debugging, and optimizing CUDA applications. - GPU Optimization : Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. - Parallel Computing : Solid understanding of parallel algorithms and multi-threaded programming. - Mathematical and Analytical Skills : Strong foundation in linear algebra, calculus, and numerical methods. - Tools : Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

We are seeking a Developer with a strong background in C++, CUDA programming, & Linux to guide the development team in building cutting-edge solutions for device integration & high-performance computing tasks. This is a contractual role for 1 year. Required Candidate profile Location- Kandivali, Mumbai (Only local candidates are acceptable). Must have end-to-end experience in C++, (C++11/14/17/20) and Experience in developing, debugging, and optimizing CUDA applications.