GPU Accelerated Networking Jobs in Bengaluru

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.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Job Title: Enterprise Account Executive - Sales Company: Druva Location: Bengaluru, India About Druva: Druva enables cyber, data, and operational resilience for every organization through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Customers simplify data protection, streamline governance, and gain data visibility as they accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure costs and delivers data resilience across geographies and clouds. Role Overview: Druva is seeking a highly motivated Enterprise Account Executive to drive sales within the Enterprise segment in India. This role involves building a strong sales pipeline and closing new and existing business deals across a defined territory. Reporting directly to the Country Manager, India & SAARC, you will play a critical role in growing Druva s footprint by engaging IT decision-makers at various levels and working collaboratively with channel partners. Key Responsibilities: Manage sales across assigned territory focusing on both new business and existing customer accounts (hybrid role). Own the full sales cycle end-to-end from initial prospecting and contact to deal closure. Partner with Renewals teams to ensure subscription renewals, prevent churn, and minimize downsell. Collaborate closely with channel partners, including resellers and distributors, to scale sales reach. Generate awareness of Druva s solutions, qualify leads, deliver compelling product demos and presentations, and close deals. Develop deep expertise in Druva s product offerings and competitive positioning to effectively communicate value propositions. Lead proposal creation and respond to RFIs/RFPs in conjunction with Solution Engineering teams. Maintain accurate and timely pipeline reports and forecasts within the territory. Prepare and execute thorough business plans aligned with revenue targets. Consistently meet or exceed assigned sales quotas. Qualifications & Experience: Minimum 7 years of experience in software sales; Backup or SaaS sales experience preferred. Proven track record selling to Enterprise IT organizations in India, demonstrating consistent performance and revenue achievement. Experience managing and selling through channel partners. Familiarity with structured sales methodologies such as MEDDPICC. Strong technical acumen with the ability to build compelling business cases including TCO and ROI justification. Willingness to travel up to 30%, predominantly domestic. Fluency in English. Bachelor s degree from a top-tier university; advanced degrees (MBA or Master s) are a plus. Personal Attributes: Entrepreneurial spirit: Passionate about scaling up and adaptable to evolving business dynamics. Technologist: Deep understanding of IT challenges and modern technology solutions. Self-starter: Proactive and accountable with minimal supervision. Team player: Collaborative, building strong relationships across Druva s regional and global teams. Organized: Able to lead complex initiatives, prioritize tasks, and communicate progress clearly. Pragmatic: Balances trade-offs to achieve key objectives efficiently. High standards: Committed to personal and organizational excellence. Excellent communication: Clear, succinct, and persuasive in both verbal and written interactions. If you re driven by success in a fast-paced, scale-up environment and passionate about delivering world-class SaaS solutions to Enterprise customers, Druva offers a compelling opportunity to join a global leader in data resilience. Qualification : Bachelors degree from a top-tier university; advanced degrees (MBA or Masters) are a plus.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: 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 to 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: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

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 Title: Technical Support Specialist Location: Bengaluru Experience: 0-2 Years Job Overview We are looking for a passionate and customer-focused Technical Support Specialist who will provide high-quality support to our customers while ensuring their technical issues are resolved promptly. You will use your technical knowledge to analyze and troubleshoot software problems, collaborate with our Product and Engineering teams, and help improve the overall customer experience. This is a great opportunity for someone eager to develop their technical skills and grow in a fast-paced environment. Key Responsibilities Customer Support: Acknowledge customer concerns, empathize with their issues, and conduct a thorough analysis to offer effective solutions. When needed, ask follow-up questions to refine the diagnosis. Troubleshooting: Leverage your technical knowledge to efficiently troubleshoot software-related issues. Ensure that solutions are accurate and delivered in a timely manner, escalating to senior teams when deeper technical investigation is required. Collaboration: Work closely with Product and Engineering teams to relay customer feedback, and contribute to identifying and implementing new features and functionalities. Technical Communication: Clearly communicate technical details to both technical and non-technical audiences, ensuring all parties understand the issue and the solution. Continuous Learning: Stay up to date with the latest technology trends and new tools, keeping your problem-solving skills sharp. On-Call Support: Participate in an on-call rotation to provide support outside regular working hours as needed. Required Skills & Qualifications Technical Knowledge: Basic understanding of programming and scripting languages such as PHP, Java, Angular, and JavaScript. Operating Systems: Basic knowledge of Windows and Linux OS. Cloud Software: Familiarity with cloud-based software applications, including installation, administration, and troubleshooting. Error Log Analysis: Ability to analyze and interpret error logs for Java programs, Windows OS, and Linux OS. Database Administration: A general understanding of database administration concepts. Cloud Platforms: Exposure to cloud platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus. Networking: Understanding of network fundamentals and the ability to analyze network traces. API Knowledge: Experience or familiarity with API design and development. Security: Understanding of how data is securely transmitted across the network. Communication & Soft Skills Clear Communication: Excellent verbal and written communication skills with the ability to convey complex technical information clearly to a wide range of users. Active Listening: Strong listening skills to effectively understand customer concerns and resolve issues efficiently. Patience and Empathy: Ability to show patience, empathy, and compassion, ensuring customer satisfaction. Fast-Paced Environment: Work in an energetic environment that promotes innovation and fast decision-making. Growth Opportunities: Enjoy accelerated growth, skill development, and rewards for your contributions. Collaborative Culture: Work with industry leaders and the best minds in the field. Flexible Work Hours: Benefit from a flexible work schedule that suits your lifestyle. If this role resonates with you, don t hesitate to apply! We offer plenty of room for growth and an exciting career at iSoftcells. Let s celebrate work and thrive together!

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Title: Senior Technical Lead Software Engineering General Summary: Qualcomm Technologies Inc., a global leader in Snapdragon SoCs, is the largest provider of chipset solutions for Microsoft Windows on Snapdragon products. As part of our commitment to developing next-generation solutions, we seek a highly skilled Senior Technical Lead Software Engineering to drive innovation and excellence in our compute platform solutions. The ideal candidate is a self-motivated leader with excellent verbal and written communication skills and a proven ability to collaborate with engineers, partners, and customers across geographies. This role requires experience working with senior management in a corporate environment and the ability to take a hands-on technical leadership approach, diving into technical details and problem-solving as needed. Key Responsibilities: Software Development & Validation: Lead driver development and validation for compute platforms consisting of ARM cores, GPUs, and DSPs. Perform smoke testing, test scenario development, and issue troubleshooting to ensure product reliability and quality. Provide technical guidance and mentorship to software engineering teams. Collaboration & Stakeholder Engagement: Interface with cross-functional development and test teams, ensuring effective communication and seamless execution. Collaborate with OEMs for feature updates, over-the-air (OTA) updates, and test plan development. Drive large-scale software validation efforts across Windows, Linux, Android, and Integrity platforms. Data Analysis & Performance Optimization: Utilize big data tools and platforms to manage and analyze large datasets for software performance improvement. Optimize and validate multimedia drivers across audio, video, camera, display, and graphics components. Technical Expertise & Innovation: Demonstrate strong familiarity with ARM architecture and a solid understanding of CPU, GPU, and NPU architectures. Develop and optimize software using C, C++, Python, and other programming languages. Leverage tools like Power BI for data-driven decision-making. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field with 18+ years of Software Engineering experience. OR Master s degree with 15+ years of experience. OR PhD with 12+ years of experience. 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications: 9-12 years of experience in driver development, validation, and compute platform software engineering. Proven experience in leading large teams responsible for software validation and development. Hands-on experience with multimedia/embedded applications and driver validation on Windows, Linux, Android, or Integrity platforms. Experience managing and analyzing large datasets using big data tools and platforms. Familiarity with ARM architectures, CPU/GPU/NPU architecture. Strong analytical, debugging, and troubleshooting skills for large-scale software systems. Be part of a pioneering team that develops cutting-edge solutions for Windows on Snapdragon. Work in a collaborative and innovation-driven environment with top industry professionals. Enjoy competitive compensation, career growth opportunities, and access to cutting-edge technologies.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!

We are looking for a Senior System Software Engineer! As a member of our NVLink development team, you will drive feature enablement post silicon and firmware/verification infrastructure for our next-generation GPUs that enable high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus. What you'll be doing: Drive bringup, feature enablement and debug on GPU systems post silicon. Collaborate with architecture, hardware and software teams on feature design, development and enabling. Triage and resolve firmware issues during customer quals/in the field. Log bugs, track coverage metrics, and perform gap analysis. Work on developing automation tools and infrastructure to improve our firmware development, regressions, and verification process What we need to see: BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field 5+ years of minimum experience in a software development role Excellent debugging and analytical skills Software Verification, DFx knowledge is a bonus Experience with Python/Perl/C/C++ Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc.). Excellent interpersonal skills and ability to collaborate with on-site and remote teams Ways to stand out from the crowd: You're passionate about low-level software development/ debugging / verification Experience with HW/SW interactions Experience with RTOS/RISCV programming/debugging Ability to work independently with minimum supervision Schedule-oriented with excellent execution abilities NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Qualification : BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS 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

This is our life s work to amplify human imagination and intelligence. And we have only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us take on some of these once-in-a-lifetime opportunities. As a key member of the NVIDIA Partner Network Team for NVIDIA's Enterprise business units, we are looking for a Partner Business executive for Global System Integrators (GSI)and Service Delivery Partners (SDP) in India who will manage the business relationship with the key Indian Global System Integrators. What you'll be doing: Manage the business relationship with the identified key GSI/SDPs in India and help them evolve into world class partners for providing AI enabled Services. Work with the leadership teams of the GSI/SDPs and ensure that a clear strategy is defined to help them provide AI enabled Services. Devise enablement plans and help the large Developer base at the GSIs to enhance their skillsets on GPU accelerated computing and AI. Act as a bridge between the GSI and NVIDIA Solution Architects to run PoCs, help with porting platforms and respond to RFQs. Define Business goals, track and report progress and work on joint GTM plans. Act as the bridge between the Sales teams of the GSI/SDP and NVIDIA to identify Top accounts for joint engagement. What we need to see: 12 to 15 years of demonstrated ability in a sophisticated Sales or Partner business management environment, with a strong technology and business acumen. High energy with effective communication and written skills. Experience and flair in presenting to senior leaders and large audience. Proactive, creative, flexible and uses good judgment to accomplish tasks on schedule with minimal direction and supervision. Familiarity with modern computing techniques, Artificial Intelligence, Generative AI and the ability to scale up technical knowledge to serve the needs of demanding technology companies. Ability to successfully and effectively connect with all team members at any level. Enjoys working in a fast-paced environment with multiple priorities. Bachelor s degree or equivalent. Master s may be an added advantage. Ways to stand out from the crowd: A passion for winning, a solid aptitude for business strategy, and excellent collaboration skills with a wide variety of internal team members. Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, ambitious, and attracted to a meaningful opportunity. Graphics, AI/deep learning, high performance computing, cloud data center, and/or edge computing development/deployment experience desirable. Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables. Consistent track record of handling multiple customers and customer programs across worldwide geographies and time zones. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning Qualification : Bachelors degree or equivalent. Masters may be an added advantage.

As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its great technology and amazing people. We seek a Senior Power and Thermal Engineer to join our dynamic and fast-paced Silicon Solution Group. As part of the Silicon Solutions Team, we architect and deliver groundbreaking system solutions that integrate all aspects of the system from silicon design, software design to operations and final deployment in multiple market segments that NVIDIA serves. This position offers a unique opportunity to collaborate with multiple organizations in the company and grow your career in a high impact role. We need a passionate, hard-working, and creative individual to architect and productize next generation power and performance controllers. What You Will Be Doing: Responsible for architecting, developing, characterization of next generation power and thermal management features and solutions working with multi-functional teams across the company. Drive methodologies for deployment of features into products. Drive initiatives for power and thermal optimizations spanning across silicon, platform, software, manufacturing, and product systems; for products ranging from largescale datacenters to low-power client devices. Debug and architect solutions for issues seen by customers in the field across a wide range of industries. Influence next generation SW, chip, board, and platform design of products across SOC, GPU and CPUs in Laptops, Servers, and Datacenters Work alongside system architects, designers, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market. What We Need to See: B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience) 4+ years of experience in silicon bring-up, validation, and productization. Experience with power and thermal controllers and management. Expertise and deep understanding in the areas of silicon power, transistor/device physics, power modeling and measurement, active power management is a plus Proficiency in Python, Perl or C programming languages. Self-starter with strong skills in multi-tasking, influencing, communication, presentation, and consensus-building Enthusiastic, responsive, and keen on process improvement With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Qualification : B. Tech or M. Tech in Electronics Engineering, Computer Science, or related field (or equivalent experience)

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. Google Cloud has a strategic partnership with Oracle to make available Oracle flagship database technologies on Google Cloud. As a Database Practice Specialist focused on Oracle, you will engage with customers to identify appropriate Oracle workloads for migration to Google Cloud and design the overall deployment architecture. You will also work with partners and Oracle teams to develop migration plans to enable customers to move their Oracle workloads to Google Cloud. 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 an Oracle technology subject matter expert, focusing on Oracle database offerings and Oracle Cloud Infrastructure specifically, knowledge of Google Cloud Platform (GCP) infrastructure, including ecompute/Google Kubernetes Engine (GKE), storage and networking, and database services. Identify and qualify Oracle business opportunities, lead discovery workshops for Oracle workloads, identify key customer technical objections, and develop a strategy to resolve technical blockers. Support the technical relationship with Google s customers, including product and solution briefings on Oracle and database modernization, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Cloud. Listen to the customer to provide feedback on product improvement to product management and engineering. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in the enterprise software or cloud space. Experience with Oracle database, Oracle technology products, and Oracle Cloud Infrastructure. Experience with one or more open source database technologies such as PostgreSQL and MySQL. Preferred qualifications: Experience in customer-facing pre-sales or professional consulting in data and information life cycle management, translating customer business needs into cloud-based solutions. Experience with data management architectures, including performant and scalable architectures, security, monitoring, and database management, particularly from an Oracle perspective. Experience with Oracle data migration strategies and in moving large-scale production systems either in on-premise / data center environments or migration to cloud scenarios. Knowledge of Oracle Maximum Availability Architecture (MAA), cloud-based high availability architectures, and Oracle database performance tuning.

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 Summary: Google Cloud is seeking a Program Manager to join our Scaled Services team in Go-to-Market (GTM) Strategy and Operations. This role will focus on operational excellence, helping optimize seller and compensation operations, and enabling growth by improving processes that support the cloud seller experience. You will work with cross-functional teams to design, launch, and optimize operational processes across vendor teams and key business functions. Key Responsibilities: Lead high-priority escalations from intake to resolution, ensuring effective execution and closure. Analyze and optimize operational performance by identifying and articulating process improvement opportunities. Collaborate with Compliance, Finance, Payroll, and Regional Strategy teams to optimize timelines for case resolution and ensure smooth operations. Deliver process optimization that enhances efficiency and reduces friction in key business operations, including order management and compensation. Build relationships and influence cross-functional teams to drive continuous improvements across escalation paths and business processes. Translate business needs into technical requirements, working with Engineering and other internal teams to implement scalable solutions. Track and resolve issues related to data quality, account, billing, planning, quota, and attainment. Minimum Qualifications: Bachelor s degree or equivalent practical experience. 3+ years of experience in program or project management. Proven experience in translating business needs into technical requirements. Experience working with executive-level clients or stakeholders. Preferred Qualifications: Experience in managing vendor relationships and third-party collaboration. Experience with Salesforce or other CRM/ERP systems. Experience in process design and re-engineering, optimizing workflows and operational efficiency. Why Join Google Cloud? At Google Cloud, you'll be part of a team that accelerates digital transformation for organizations worldwide. This role offers a chance to work with cutting-edge technology and collaborate with various teams to enhance the seller experience while optimizing key operational processes. Qualification : Bachelor's degree or equivalent practical experience.

Experience: 3 to 5 years in Pre-Sales Engineering or similar roles Education Qualification: BA/BS in a computer-related field or equivalent About Hewlett Packard Enterprise (HPE): Hewlett Packard Enterprise is a global edge-to-cloud company driving the future of technology. We empower organizations to connect, protect, analyze, and act on their data and applications across various environments, from edge to cloud, to accelerate the outcomes they need to thrive in a complex world. With a culture that values diverse backgrounds, flexibility, and bold moves, HPE is where you can stretch and grow your career, together with a team that is making a real impact. Job Description: Global Sales at HPE is redefining the future, and we're looking for a Pre-Sales Engineer with expertise in Zerto solutions to help us deliver the Zerto message and vision to prospective customers and partners. In this role, you'll provide technical support, drive value-based selling, and act as a trusted technical advisor for our customers. You will be responsible for guiding customers through product installations, conducting product demos, and contributing to technical solutions that meet customer needs. Key Responsibilities: Deliver Zerto Solutions: Present Zerto s technical architecture and product demonstrations to potential customers and partners. Conduct remote and face-to-face meetings to discuss business and technical fit for Zerto solutions. Establish yourself as a trusted technical advisor to customers, partners, and internal stakeholders. Pre & Post Sales Support: Support both pre-sales and post-sales efforts by addressing technical issues and working with account executives to ensure customer satisfaction. Guide customers through the installation of proof-of-concept (POC) solutions, ensuring the solution meets their requirements. Sales Support & Partner Enablement: Collaborate with account managers and sales teams to help onboard and enable partners such as Value-Added Resellers (VARs) and Managed Services Providers (MSPs). Drive partner engagement and develop strategic relationships in the region. Provide updates on account and technical pipeline management through tools like Salesforce. Product Feedback & Requirements Gathering: Work closely with Development and Engineering teams to ensure the product meets customer needs and provide feedback to the Product Management team. Communicate customer requirements and long-term BC/DR (Business Continuity/Disaster Recovery) goals to the appropriate teams. Evangelize Zerto Solutions: Promote Zerto solutions through various online channels, including social media, to raise awareness and engage with potential customers. Travel Requirements: This role requires domestic travel in India (25-30% of the time). Requirements: Experience & Skills: 3-5 years of experience in Pre-Sales Engineering or similar roles, with strong communication and interpersonal skills. Ability to explain technical solutions to non-technical stakeholders. Practical understanding of data center and cloud architecture, including networking concepts. Experience with hypervisor-based products (VMware vSphere, Microsoft Hyper-V, KVM, etc.). Understanding of storage architecture (SAN/NAS/DAS) and backup/recovery technologies (e.g., Dell EMC, Commvault, Veeam, Rubrik). Familiarity with public clouds (Azure, AWS, Google Cloud). Technical Skills: Working knowledge of Microsoft Windows Server (2012/2016/2019/2022) and x86 platforms. Experience with server, storage, security, or network administration. Knowledge of Linux/UNIX administration and TCP/IP networking. Experience with databases like Microsoft SQL Server, MySQL, and Oracle. Preferred Skills: Experience with Salesforce.com or other CRM tools. Technical certifications (VCP, MCSE, CCNA, CISSP) or Solution Architect certifications (Azure, AWS). Strong skills in configuring and troubleshooting customer environments for demos or troubleshooting. At HPE, you ll be part of a culture that thrives on innovation, teamwork, and making bold moves. We value diversity and offer a flexible work environment that helps you balance your personal and professional life. We are committed to helping you grow and excel in your career, providing ample opportunities for learning and development. Qualification : BA/BS, preferably in a computer related field