92 Hpc Jobs - Page 2

8+ years of experience in managing Linux setup. 4+ years of Experience in HPC/ Linux clusters. Install, administer, and maintain hardware, system software, networking, accounts, and security measures on VMWare configuration. Diagnose and correct system issues, whether these be issues with correct operation or performance. Reinstate integrity of system as quickly as possible following an outage in order to minimize downtime. Triage and solve user-submitted tickets, especially when they relate to the infrastructure. Track resource usage using monitoring and queuing software. Actively participate in Knowledge Management by creating new technical documents. Patch system firmware and software as needed. Peer assistance is an added trait. What you need to bring: Technical Skills: Demonstrated expertise with Linux system administration, including OS, networking, storage, and security. Expertise with high-speed networking such as InfiniBand and 10/40 Gigabit Ethernet. Expertise with high speed file transfer tools such as file catalyst Familiarity with large storage systems Some experience in scripting language Proven expertise in Hypervisor Knowledge of Horizon is preferred Experience with Linux clusters Troubleshooting Knowledge on ESXi and vCenter performance issues. Knowledge on Virtual Machine snapshots and VMware VDP Understanding of VMware Site Recovery Manager for disaster recovery Business Skills: Demonstrate strong written and verbal communication skills. Interacting and collaborating across different technology teams within HPE. Must work towards achieving HPEs vision for our customers. Affinity and a thorough understanding of support processes defined within HPE. Ability to work in a 24x7 environment in rotation shifts Exhibit Customer First and Customer Last Attitude consistently. Ability to drive cases to closure and provide Case Summary. Demonstrate high level of technical & communication skills. Takes responsibility for end-to-end problem ownership and its solutions.

Role & responsibilities Achievement of primary & secondary sales targets Retail business growth and numeric distribution Execution of promotional programs and visibility plans SSM incentive earnings and productivity Timely and accurate reporting in REACH/POS Stockist performance metrics and claim processing accuracy New product development (NPD) and opportunity brand growth Preferred candidate profile Familiar with Medininagar (Daltonganj ) - Jharkhand region. Must have experience in Health and Personal Care division Prior experience in FMCG is a must. Age must be between 25 - 35.

BE/BTech/Dip. engineer or equivalent with 1-3 years relevant Experience with: Parallel/distributed programming (using MPI/Open MPI) Bash/Shell/Python scripting, Fortran, C, C++, various debugging tools (viz. Allinea/Total view/Intel vtune/ITAC etc.), gdb, compilers, various HPC applications (Preferred in weather domain). Should be comfortable with porting and optimizing codes and working concepts with CUDA & AI/ML. Must be Open to work in 24x7 support environment

The Computer Vision Engineer position in Hyderabad requires someone with 3 to 5 years of experience in developing, implementing, and optimizing deep learning models. As a Deep Learning Engineer, you will be responsible for driving advanced AI solutions across various industries by leveraging your expertise in neural networks, data processing, and model deployment. Your main responsibilities will include owning the product development milestones, ensuring delivery to the architecture, and identifying challenges. You will drive innovation in the product, cater to successful initiatives, and establish engineering best practices for core product development teams within the company. In this role, you will be involved in developing, porting, and optimizing computer vision algorithms and data structures on proprietary cores. You will also engage in research and development efforts focused on advanced product-critical computer vision components, such as feature extraction, tracking objects, and sensor calibration. Solid programming skills in Python and C/C++, as well as experience with TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, and various neural networks, frameworks, and platforms are essential. Previous exposure to GPU computing, HPC, cloud services like AWS/Azure/Google, and NoSQL databases will be beneficial. You should have hands-on experience in deploying efficient Computer Vision products, implementing research papers, using dockerized containers with microservices, and optimizing models for TensorRT. Familiarity with NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier, Raspberry Pi, and edge devices is required. Understanding of computer vision concepts like photogrammetry, multi-view geometry, visual SLAM, detection and recognition, and 3D reconstruction is crucial. You will need to write maintainable, reusable code, leverage test-driven principles, and develop high-quality computer vision and machine learning modules. Experience with object detection, tracking, classification, recognition, scene understanding, and deep neural networks is important. Furthermore, knowledge of image classification, object detection, and semantic segmentation using deep learning algorithms is desirable. You should be able to evaluate and advise on new technologies, vendors, products, and competitors. Initiative, independence, teamwork, and hands-on technical expertise are key attributes for this role. If you are ready to contribute to cutting-edge AI solutions and drive innovation in computer vision, apply now and join our awesome squad.,

As a Computational Modeling Engineer at Micron Technology, you will be responsible for developing and validating computational models using FEM and CFD tools such as Abaqus, ANSYS Fluent, COMSOL, and Star-CCM. Your primary focus will be on conducting simulations, analyzing results, and optimizing designs to ensure compliance with industry standards. Additionally, you will utilize data analysis and machine learning techniques to enhance the accuracy and efficiency of simulations. Collaboration with cross-functional teams will be essential as you support product development and troubleshoot engineering issues. You will also be required to prepare technical reports and presentations to communicate analysis results and recommendations effectively. Staying updated with the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning will be a key aspect of your role. To qualify for this position, you should hold a Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields. A minimum of 5 years of experience in computational modeling is required, along with proficiency in numerical methods, scientific computing, and scripting languages like Python, MATLAB, FORTRAN, and C++. Experience with data analysis tools and machine learning frameworks is also necessary. Preferred skills for this role include knowledge of multi-physics simulations, advanced material models, computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis. Strong communication, presentation, problem-solving skills, and the ability to manage multiple projects and meet deadlines are highly valued. Micron Technology, Inc. is a global leader in memory and storage solutions, focusing on transforming information into intelligence to enrich lives worldwide. With a commitment to technology leadership and operational excellence, Micron delivers high-performance memory and storage products through its Micron and Crucial brands, driving innovations in artificial intelligence and 5G applications. If you are passionate about computational modeling and keen on contributing to cutting-edge solutions that shape the future, Micron Technology is the place for you. Explore more about our career opportunities at micron.com/careers and be part of our journey towards advancing the data economy from the data center to the intelligent edge. For any inquiries or assistance during the application process, please reach out to hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all applicable laws and labor standards. Candidates are encouraged to leverage AI tools for enhancing their application materials, ensuring accuracy and authenticity in their qualifications. Misuse of AI may lead to disqualification. Be cautious of fraudulent job offers and verify communications by checking the official Micron careers website. Join us in shaping the future of technology at Micron Technology, Inc.,

Join us and contribute to the discovery of medicines that will impact lives! Aganitha is accelerating drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Aganitha, which means countless or limitless in Sanskrit, serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Key Responsibilities - Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development. - Specifically looking for Ph.D. & Postdoc candidates who can contribute to disease studies, target identification, uncover mechanisms of action, and patient population stratification using various technologies such as Single-cell multi-omics, Whole genome sequencing, Proteogenomics, and High-throughput pre-clinical experimentation datasets. - De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI. This includes Antibody engineering, RNA design and optimization, and Viral Vector optimization for advanced cell and gene therapies. - Analysis and optimization of bio-synthesis reactions using AI/ML and computational modeling of underlying cellular processes. Educational Qualifications - Ph.D. candidates in Computational biology or related field.,

Your role at Micron Technology involves developing and validating computational models for process, structure, and multi-physics analysis using tools like Abaqus, ANSYS Fluent, COMSOL, and Star-CCM. You will conduct simulations, analyze results, and optimize designs to meet industry standards. Additionally, you will utilize data analysis and machine learning techniques to enhance simulation accuracy and efficiency. Collaboration with cross-functional teams is essential to support product development and troubleshoot engineering issues. You will be responsible for preparing technical reports and presentations to communicate analysis results and recommendations effectively. Keeping abreast of the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning is crucial for this role. As a qualified candidate, you should hold a Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields. With a minimum of 5 years of experience in computational modeling, you should be proficient in numerical methods, scientific computing, and scripting languages such as Python, MATLAB, FORTRAN, and C++. Experience with data analysis tools and machine learning frameworks like TensorFlow is required. Familiarity with FEA, FVM, PFM, HPEM methods, and implementations is advantageous. Strong problem-solving skills, attention to detail, and the ability to work both independently and collaboratively in a fast-paced environment are essential qualities for this role. Experience with High-Performance Computing (HPC) in a Linux environment, computational geometry, and mesh generation techniques is beneficial. Preferred skills include knowledge of multi-physics simulations, advanced material models, computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis. Strong communication and presentation skills, along with the ability to manage multiple projects and meet deadlines, are highly valued attributes. Micron Technology, Inc., is a global leader in memory and storage solutions, leveraging innovation to enrich lives through information. With a focus on technology leadership, operational excellence, and customer-centric solutions, Micron offers a diverse range of high-performance DRAM, NAND, and NOR memory and storage products under the Micron and Crucial brands. The company's advancements in AI and 5G applications empower the data economy, driving progress from data centers to the intelligent edge and enhancing client and mobile user experiences. To explore opportunities at Micron Technology, please visit micron.com/careers. For assistance with the application process or accommodations, contact hrsupport_india@micron.com. Micron upholds a strict policy against child labor and complies with all relevant laws and labor standards. Candidates are encouraged to utilize AI tools to enhance their resumes and applications, ensuring accuracy and transparency in representing their qualifications. Job seekers should exercise caution regarding unsolicited job offers and verify communication authenticity by referring to the official Micron careers website.,

You will play a pivotal role in the design and implementation of cutting-edge GPU computers optimized for demanding deep learning, high-performance computing, and computationally intensive workloads. Your expertise will be essential in identifying architectural enhancements and innovative approaches to accelerate our deep learning models. Addressing strategic challenges related to compute, networking, and storage design for large-scale, high-performance workloads will be a key responsibility. Additionally, you will contribute to effective resource utilization in a heterogeneous computing environment, evolve our cloud strategy, perform capacity modeling, and plan for growth across our products and services. As an architect, you are tasked with translating business requirements pertaining to AI-ML algorithms into a comprehensive set of product objectives encompassing workload scenarios, end user expectations, compute infrastructure, and execution timelines. This translation should culminate in a plan to operationalize the algorithms efficiently. Furthermore, you will be responsible for benchmarking and optimizing Computer Vision Algorithms and Hardware Accelerators based on performance and quality KPIs. Your role will involve fine-tuning algorithms for optimal performance on GPU tensor cores and collaborating with cross-functional teams to streamline workflows spanning data curation, training, optimization, and deployment. Providing technical leadership and expertise for project deliverables is a core aspect of this position, along with leading, mentoring, and managing the technical team to ensure successful outcomes. Your contributions will be instrumental in driving innovation and achieving project milestones effectively. Key Qualifications: - Possess an MS or PhD in Computer Science, Electrical Engineering, or a related field. - Demonstrated expertise in deploying complex deep learning architectures. - Minimum of 5 years of relevant experience in areas such as Machine Learning (with a focus on Deep Neural Networks), DNN adaptation and training, code development for DNN training frameworks (e.g., Caffe, TensorFlow, Torch), numerical analysis, performance analysis, model compression, optimization, and computer architecture. - Strong proficiency in data structures, algorithms, and C/C++ programming. - Hands-on experience with PyTorch, TensorRT, CuDNN, GPU computing (CUDA, OpenCL, OpenACC), and HPC (MPI, OpenMP). - Thorough understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. - Proficient in Python programming, bash scripting, and operating systems including Windows, Ubuntu, and Centos. - Excellent communication, collaboration, and problem-solving skills. Good To Have: - Practical experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. - Familiarity with cloud computing architectures. - Hands-on exposure to Software Defined Networking and HPC cluster networking. - Working knowledge of cluster configuration management tools like Ansible, Puppet, Salt. - Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. This role offers an exciting opportunity to contribute to cutting-edge technology solutions and make a significant impact in the field of deep learning and high-performance computing. If you are a self-motivated individual with a passion for innovation and a track record of delivering results, we encourage you to apply.,

You are a high-performing candidate who is sought after by Chevron ENGINE to join the Reservoir Engineering and Simulation team with a focus on software development. This team is dedicated to field development/application and technology development, aiming to enhance Chevron's Reservoir Simulation and Optimization workflows. As a senior simulation development engineer, you will be responsible for coaching and mentoring team members, collaborating with US-based R&D groups, developing reservoir simulation and optimization products, and ensuring the smooth operation of software applications. Your key responsibilities will include working on targeted user-experience and data management development, application testing, pipeline build and release in a cloud platform, application run, maintain and user support, as well as development of technical software and training documentation. You are expected to have a BSc/MSc degree in Petroleum Engineering or related areas, with at least three years of experience in the industry. Demonstrated fluency in engineering software development, understanding of subsurface flow simulations, optimization technologies, and cloud platforms, as well as good communication skills are essential for this role. Preferred qualifications include familiarity with reservoir simulation, uncertainty & optimization workflows, ML/AI applications in reservoir simulation & optimization, and direct experience in various reservoir engineering domains. The standard work week for this position will be Monday to Friday, with working hours from 8:00am to 5:00pm or 1.30pm to 10.30pm, aligned to support business requirements across the globe. Chevron ENGINE is committed to supporting global operations and expects you to work effectively in a team environment, utilizing SAFe agile processes to implement highly prioritized features. Your ability to integrate reservoir simulation & optimization workflows with cloud platforms & services will be crucial in this role. If you are looking to be part of a dynamic team that values innovation and collaboration, this opportunity at Chevron ENGINE might be the perfect fit for you.,

We are looking for a highly skilled HPC/GPU Operations Engineer with 6-10 years of experience to oversee the management, optimization, and maintenance of high-performance computing (HPC) infrastructure, specifically focusing on GPU-accelerated workloads. Your primary responsibilities will include ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. As an IC3 level professional, you will be tasked with the following responsibilities: - Managing and administering HPC clusters, GPU nodes, and high-speed interconnects. - Configuring GPU-accelerated workloads for AI/ML, scientific computing, and simulations. - Monitoring system performance, troubleshooting issues, and optimizing resource utilization. - Installing, configuring, and maintaining HPC-related software, libraries, and tools such as CUDA, OpenMP, and MPI. - Supporting containerized workflows using technologies like Docker and Singularity. - Ensuring software compatibility with GPU architectures from NVIDIA, AMD, and Intel. - Tuning GPU and CPU performance for specific workloads, including benchmarking and profiling. - Utilizing monitoring tools like Prometheus, Grafana, and Slurm to track system health and efficiency. - Optimizing scheduling and resource allocation in workload managers such as Slurm, PBS, and LSF. - Upholding system security and access control for HPC resources. - Applying software patches, firmware updates, and security best practices. - Assisting in regulatory compliance for HPC environments. - Providing support to researchers, data scientists, and engineers using HPC resources. - Developing and maintaining documentation on best practices, troubleshooting, and system usage. - Conducting training sessions or workshops on HPC/GPU computing. To qualify for this role, you should possess the following technical skills: - Experience in managing HPC clusters and GPU-based computing environments. - Proficiency in Linux system administration, scripting (Bash, Python), and automation (Ansible, Terraform). - Knowledge of parallel computing, GPU programming (CUDA, OpenCL), and HPC frameworks. - Familiarity with networking technologies such as Infiniband and RDMA, storage solutions like Lustre, GPFS, NFS, and virtualization. At Oracle, we are dedicated to leveraging cutting-edge technology to address current challenges while fostering an inclusive work environment that encourages innovation and collaboration. We offer a range of competitive benefits, flexible medical, life insurance, and retirement options, and support employee engagement in volunteer programs. We are committed to providing accessibility assistance or accommodation for individuals with disabilities throughout the employment process. If you require such assistance, please contact us via email at accommodation-request_mb@oracle.com or by phone at +1 888 404 2494 in the United States.,

As an AWS Operations and DevOps Support specialist, you will be responsible for providing 24/7 monitoring, incident management with SLAs, cost optimization, and governance services. Your primary focus will be on adhering to security and compliance best practices, as well as automating provisioning and workflows. Your key deliverables will include generating monthly reports on usage, cost, and incidents, maintaining cloud architecture documentation, conducting security posture and compliance assessments, and ensuring the smooth operation of DevOps pipelines. To excel in this role, you should ideally have experience working with container platforms such as ECS & EKS, handling ML workloads, possess relevant certifications, and be familiar with HPC and ML technologies like parallel clusters, AWS batch, and SageMaker especially in the context of life sciences data workloads. While AWS Advanced or Premier Partner status is preferred, the right candidate will also have a strong foundation in the aforementioned areas along with a track record of references to support their expertise. This is a full-time, permanent position with benefits such as health insurance and provident fund. The role entails working day and evening shifts from Monday to Friday.,

Job Description : We are seeking a talented Linux System Administrator with expertise in managing High-Performance Computing (HPC) servers to join our team. The ideal candidate will be responsible for the deployment, configuration, optimization, and maintenance of our HPC infrastructure, ensuring maximum performance and reliability for our clients. Responsibilities: Install, configure, and maintain Linux-based HPC clusters, including hardware and software components such as job schedulers, parallel file systems, and MPI libraries. Optimize system performance and resource utilization to meet the computational demands of our clients' workloads. Monitor system health and performance, troubleshoot issues, and implement solutions to minimize downtime and disruptions. Collaborate with researchers, engineers, and other stakeholders to understand their computational requirements and tailor HPC solutions to meet their needs. Develop and maintain documentation, best practices, and standard operating procedures for HPC system administration tasks. Implement security measures to protect HPC systems and data from unauthorized access and cyber threats. Stay up-to-date with the latest developments in HPC technologies and best practices, and recommend upgrades or improvements as needed. Provide technical support and training to end-users, including researchers and application developers, to help them utilize HPC resources effectively. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a Linux System Administrator with a focus on HPC environments. In-depth knowledge of Linux operating systems, cluster management tools (e.g., Slurm, PBS Pro), and parallel file systems (e.g., Lustre, GPFS). Experience with HPC hardware components such as compute nodes, interconnects (e.g., InfiniBand), and storage systems. Proficiency in scripting languages (e.g., Bash, Python) for automation and system administration tasks.

We are thrilled to invite you to be a part of an exciting journey with SHI India! We are currently looking for a talented Solution Architect Core Data Center (DC) to join our team. If you're ready to work in a dynamic and innovative environment, this role is for you! Job Title: Solution Architect -Core Data Center (DC) Job Location: HYD Experience Required: 4-10 Years Technical Expertise: Core Data Center Technologies (Servers, Storage, Virtualization, VDI, Backups, HCI) and HPC Position Overview: We are seeking a highly motivated Presales Core Data Center Specialist to join our team. This is a key role supporting our sales efforts by offering expert technical guidance and designing tailored solutions to address our clients' data center needs. The ideal candidate should have extensive experience with Core Data Center technologies, including Servers, Storage, Virtualization, VDI (Virtual Desktop Infrastructure), Backups, and HCI. The role requires excellent customer engagement skills, a strong technical background, and the ability to craft compelling solutions. Key Responsibilities: Collaborate with Sales Team: Understand customer needs and design solutions aligned with business goals. Design & Configure Solutions: Utilize HPE, Dell, Lenovo, Cisco Servers, HPE, Dell, NetApp Storage, VMware, Citrix, Redhat Openshift, Openstack, and HCI technologies (VSAN/Nutanix). Primary Technical Contact: Serve as the main point of contact for customers, showcasing expertise during presentations, workshops, and discussions. Solution Leadership: Lead technical aspects of the sales cycle, from discovery through design and proposal development. Demonstrations & Proof-of-Concepts: Conduct product demos and implement proof-of-concept solutions to showcase feasibility and benefits. Stay Current on Industry Trends: Continuously update yourself on emerging technologies and competitive solutions in Core Data Center. Collaborate with Product Teams: Provide feedback to product management and engineering teams, influencing product roadmaps. Technical Documentation: Prepare high-quality technical documents such as proposals, architecture diagrams, specifications, and RFP responses. Required Skills and Experience: Bachelors Degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). Proven experience in a presales or technical consulting role focusing on Core Data Center technologies. Expertise in designing and implementing solutions involving: Servers (HPE/Dell/Lenovo/Cisco) Storage (HPE/Dell/NetApp) Virtualization (VMware/Hyper-V/KVM) VDI and HCI (Nutanix/VSAN) HPC Deep understanding of data center architectures, including compute, storage, networking, virtualization and HPC. Ability to communicate complex technical concepts to non-technical stakeholders. Customer-facing experience, with a strong track record of building relationships and delivering presentations. Certifications (VMware Certified Professional, Nutanix, NetApp, etc.) would be advantageous. Excellent analytical and problem-solving skills, with an eye for detail. Ability to work independently and collaboratively within a team environment. Preferred Qualifications: Advanced certifications in relevant technologies (e.g., VMware Certified Advanced Professional, Citrix Certified Professional). Familiarity with additional technologies such as Cisco UCS, Microsoft Hyper-V, and Cloud. Prior experience in a similar role within IT services or solutions provider industries. Location and Travel Requirements: This role may require travel to client sites for meetings, presentations, and project implementations as needed.

As a Lead AI Solutions Architect at NCG, you will be responsible for spearheading the design, deployment, and optimization of AI infrastructure within hybrid/private cloud environments. Your role will involve working closely with cross-functional teams and enterprise clients to architect scalable, high-performance solutions tailored to enterprise AI workloads. Key Responsibilities: - Serve as the lead technical authority for designing and implementing enterprise-grade AI and container platforms. - Architect solutions aligned with Enterprise AI Factory design principles and validated infrastructure patterns. - Lead planning, risk management, and stakeholder alignment for complex infrastructure deployments. - Optimize end-to-end workflows across container orchestration (Kubernetes, OpenShift) and HPC workload management (Slurm, PBS Pro). - Integrate AI platforms with broader enterprise ecosystems and data pipelines. - Conduct PoC engagements, validate performance, and ensure production readiness. - Lead technical responses for RFPs, RFIs, and other customer engagements. - Collaborate across Engineering, Product, Sales, and Customer Success to deliver unified solutions. - Stay ahead of emerging AI infrastructure technologies, DevOps practices, and hybrid cloud trends. Required Skills & Experience: - 12-15 years of experience in architecting HPC, AI/ML, and hybrid cloud environments. - Strong expertise in HPC technologies such as Slurm, PBS Pro, and cluster management tools. - Proficiency in containerization with Docker, Podman, Singularity, and orchestration platforms like Kubernetes, OpenShift, SUSE Rancher. - Solid Linux system administration and virtualization skills including KVM, OpenShift Virtualization. - Deep understanding of hybrid/multi-cloud architectures and DevOps automation. - Strong scripting/programming experience in Python, Bash, or equivalent. - Excellent problem-solving, stakeholder management, and executive communication skills. - Demonstrated ability to act as a trusted advisor to enterprise customers. At NCG, we prioritize our people and offer a comprehensive benefits package designed to support you and your family. From generous maternity and paternity leave to robust medical coverage and financial security benefits, we aim to provide a supportive environment for all our employees. Join us at NCG to shape the future of enterprise AI infrastructure, work alongside industry pioneers, and contribute to solving real-world problems through intelligent, scalable architectures. Experience: 12-15 Years Employment Type: Full Time,

Broad Role Description This role is part ofAI/HPC engineering that specializes in Platform standardization initiatives,innovation, Testing and Optimization of different AI technologies. Specific role requires Installation,Administration, troubleshooting and analytical skills in the technology stackscovering Linux, Kubernetes, SLUM and Nvidia BCM OpenSource Infrastructure ToolsAnsible and scripting Candidate shouldbe B.E / B. Tech with over 7+ Years of experience in IT Infrastructureindustry, 7 to 8 years in HPC and or AItechnology with strong knowledge on Scripting and Linux with at least 2 years in Kubernetes. skills required. Managing,Installing, Configuring, Deploying, Troubleshooting and administration of opensourceHPC softwares like BCM, SLUM Ansible, ELK Good experiencein Linux OS with scripting Knowledge in BCM,Nvidia GPU, Cuda is preferred. Experience in Ansibleplaybook, managing HPC environment. Exposure toPython Scripting Knowledge in at least one of the LLM /Generative AI and GPU offering provided on public clouds like AWS /Azure/Google cloud Devops Tools Experience indeploying and managing tools like Jenkins, Git, SonarQube, Bugzilla, Harbor Registry Good to know. Networking: VLAN, VXLAN, InfiniBand, IPSubnetting, Routing, Firewall Storage: DDN, Parallel FS, Object storage and NFS Infrastructure: HP/Dell/ rack servers /GPU Management /Monitoring tools: Zabbix, PromotusGrafana and SNow,

ONNX implementation and optimization in AIX: Strong application developer with deep knowledge of compiler behaviour when implementing numerically intensive AI algorithms. Understanding how to vectorize and optimize and communicate the benefits and behaviour of the optimized code. Requires knowledge of algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX. Requires demonstrated experience implementing these algorithms in applications that require robustness and performance. The job will require an understanding of analysing performance and data handling issues such as efficient handling of endianness formats to achieve the best possible performance. This is to be accomplished using new algorithms, advanced processor features and leveraging the features through advanced compiler optimization features and libraries. Candidate will have broad awareness of how to implement algorithms to deliver performance gain and consistency of the applications requirement. Required skills Development experience with the numeric algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX Experience with C and C++ application programming using one or more of these compilers: GCC, XL C, ICC, CLANG/LLVM, AOCC Experience applying numeric algorithms into complex multi threaded multiprocessing applications in UNIX or Linux OS Experience debugging runtime and runtime issues in large scale projects Familiarity with Python based coding Familiarity Java Development Kit(JDK) and Java Virtual Machine (JVM) Preferred skills Open-source contributions, system programming, networking (distributed/parallel applications) Application performance optimization investigation & analysis using tools like valgrind, perf, Nectar, PMU, pipestat, nmon

As a Software System Designer 2 at AMD, you will play a crucial role in contributing to the development of next-generation computing experiences across various industries such as data center, artificial intelligence, PCs, gaming, and embedded systems. You will have the opportunity to work with cutting-edge AMD technologies and be a part of a dynamic team that is dedicated to delivering innovative solutions. In this role, you will be responsible for performance analysis and software optimization, building and deploying software for high-performance computing, data science, virtualization, and machine learning platforms. You will also be involved in defining, developing, and executing regression test models, driving innovation in production software environments, and exploring novel approaches to solve complex problems in heterogeneous computing. The ideal candidate for this position is a self-starter with a keen eye for detail and the ability to multitask effectively. You should possess strong communication and presentation skills, along with a passion for pushing the boundaries of software development on innovative platforms. With 3 to 15 years of experience, you should have a good understanding of test lifecycle, QA processes, and terminology. Preferred experience includes knowledge of device drivers, graphics, multimedia, and codecs, as well as proficiency in at least one programming language, preferably Python. Hands-on experience with Linux OS internals, device management, and issue debugging skills are essential. Familiarity with parallel programming languages like OpenCL, ROCm, CUDA, and OpenACC, as well as machine learning and artificial intelligence technologies, is a plus. You should hold a Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or a related field to qualify for this role. Strong analytical, problem-solving, and interpersonal skills are necessary, along with excellent verbal and written communication abilities. A positive attitude, result-driven mindset, and the ability to work with next-gen technology are key attributes for success in this position. If you are looking to be part of a forward-thinking team at AMD that is dedicated to pushing the boundaries of innovation and technology, this role offers an exciting opportunity to make a meaningful impact in the industry.,

Opportunity Alert! Opportunity Alert! Opportunity Alert! We're hiring for a dynamic role in the High-Performance Computing (HPC) domain! Position: Business Development Manager / Marketing or Sales Manager (HPC) We're looking for passionate professionals with knowledge or experience in High-Performance Computing (HPC) . Even if you're currently in a technical role and looking to switch into sales, marketing, or business development , we encourage you to apply! Referrals are welcome! Know someone who might be a great fit? We'd truly appreciate your referrals. Job Title: Business Development Manager HPC (Technocommercial Role) Location: Pune, Maharashtra Experience Required: 5 to 15 Years Department : Business Development Manager / Marketing or Sales Manager (HPC) Job Summary: We are looking for a Business Development Manager with a strong interest and background in High Performance Computing (HPC) . The ideal candidate should possess both technical expertise and strong commercial acumen . This techno commercial role requires close coordination with customers, understanding their complex computing requirements, and working with internal teams to deliver tailored HPC solutions. Key Responsibilities: Drive business growth in HPC products and services across industries such as research, education, healthcare, manufacturing, and finance. Identify new market segments, leads, and partnership opportunities in the HPC domain. Engage with customers to understand their technical computing needs and propose suitable HPC solutions (clusters, storage, networking, cloud, hybrid setups). Prepare and present detailed techno-commercial proposals, RFP responses, and pricing strategies. Act as the main point of contact between customers and internal technical/engineering teams. Conduct technical discussions and demos with clients (on-premise and remote). Track and analyze industry trends, competitor activities, and emerging HPC technologies. Support marketing and pre-sales activities including webinars, trade shows, and technical seminars. Collaborate with OEMs and technology partners (e.g., Intel, AMD, NVIDIA, Dell, HPE) to design competitive offerings. Please Share your resume at sweta.sinha@gns-india.com

Job Area: Information Technology Group, Information Technology Group > IT Software Developer General Summary: Whats in it for youQualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. Youll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.Qualcomm engineering teams rely heavily on the latest High Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role provides an opportunity to work on the latest HPC technologies and gain experience in building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe.What are we looking forEngineering Software Solutions and Data Services team (ESSDS) is looking for an experienced software developer with strong HPC background. The ESSDS team is responsible for development of software solutions enabling High Performance Compute grid and large-scale, distributed, analytical applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms and development of machine learning solutions and pipelines.This is an individual contributor technical role providing subject matter expertise (SME) across the portfolio of HPC software products and services being developed by ESSDS team. The ideal candidate would be a seasoned software developer who is skilled in many of the following areascluster infrastructure management, job scheduling and orchestration, parallel programming, performance tuning and optimizations, efficient algorithms and data structures, compute/storage/network architectures, cloud computing, GPU computing, and EDA workflows.What will you doThis roles responsibilities include:- Design and develop software solutions and services for HPC infrastructure running EDA workflows and AI workloads- Identify opportunities and deliver solutions for EDA workflow optimizations- Provide HPC expertise across portfolio of projects, guiding and mentoring a team of software developers as needed- Execute projects in partnership with global Engineering IT teams- Manage and track the software development process from development to production release in collaboration with other software developersWhat do we want to seeThe ideal candidate will be able to demonstrate some of the following skills:- 8+ years of hand-on experience in developing software solutions for HPC grid infrastructure- Broad knowledge of latest compute, storage and networking architectures- Experience of building HPC infrastructure in public cloud environments such as AWS, Azure or Google Cloud- Proven expertise in parallel and distributed programming, GPU computing and performance engineering- Proficiency in programming languages such as Python, C++, Java, Rust- Deep understanding of HPC job schedulers such as LSF, Slurm and PBS- Familiarity with EDA and semiconductor design process- Exposure to AI and ML workloads running on HPC infrastructure- Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security- Ability to explain technical concepts and analysis implications in a clear manner to a wide audience.- Bachelors or Masters in Computer Science, Computational Science or related field Minimum Qualifications: 5+ years of IT-relevant work experience with Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems). OR 7+ years of IT-relevant work experience without a Bachelors degree. 4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.). 3+ years of work experience with Data Structures, algorithms, and data stores. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Skill: HPC, Linux,Networking,AI,Private cloud

Join us and contribute to the discovery of medicines that will impact lives! Aganitha is accelerating drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build. Aganitha, which means countless or limitless in Sanskrit, serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Key Responsibilities: - Engage and co-innovate with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Chemists, Computational Biologists, Data Scientists, Data Engineers, and Web Developers to create the next generation of innovative computational solutions for drug discovery and development. - Lead architecture initiatives from inception to completion - Design and oversee implementation of solutions for BioPharma R&D - Manage Engineering teams using Agile methodologies - Enhance reuse with platforms, frameworks, and libraries - Collaborate with business users to create architecture in alignment with a business need - Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment and ensure delivered solutions meet/perform to technical and functional/non-functional requirements. - Champion the adoption of reusable architecture assets to improve efficiency - Produce documentation to aid in the understanding of existing architecture solutions - Advise our technical teams to optimize the recommended product suite in defining, building, and deploying end-to-end solutions - Lead the translation of the clients business requirements into systems design - Drive the development of prototypes and technology demonstrators within microservice architecture, cloud-native solutions - Design and document system installation and upgrade guides, specifications, and related standards and guide technical team, application specialists - Design application user guides, document common workflows, prepare training materials and conduct or participate in knowledge-sharing sessions with technical teams - Design future state reference architectures that will provide a template for teams to achieve security, scalability, reliability, and maintainability - Design and implement optimal deployment strategies and custom interfaces for integration with customer systems and technologies - Help customers tackle thorny technical issues by collaborating to create smart, efficient, and effective solutions - Work closely with customers on the installation, configuration, and update/maintenance of on-premises or cloud-hosted installations of our scientific computing and enterprise software applications - Collaborate with product managers, developers, and scientists, to improve the deployment, support, and configuration of our applications Desired Skills / Expertise: - Big data engineering with distributed computing frameworks - Cloud and DevOps automation - App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies - Experience in directing/building solutions leveraging Machine learning (ML) and AI (Deep learning) - Excellent communication skills with a desire to work in multidisciplinary teams Educational Qualifications: - Bachelors / Masters / Ph.D. in Computer Science or related technical field,

Join our team and contribute to the discovery of medicines that will impact lives! Located in Hyderabad, India, Aganitha is dedicated to accelerating drug discovery and development for Biopharma and Biotech R&D through innovative in silico solutions. Our team leverages Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps to drive advancements in the industry. In silico solutions have revolutionized the biopharma and biotech sectors, and our team of experts is at the forefront of this transformation. We are constantly expanding our multi-disciplinary team in Genomics, AI, and Cloud computing to accelerate drug discovery and development. Our passion lies in working in an innovation-rich, research-powered startup that bridges various disciplines to bring medicines to market faster. Collaborating with innovative Biopharma companies globally, we are committed to pushing boundaries and making a difference. As a part of our team, your key responsibilities will include engaging and co-innovating with R&D teams of our Biopharma clients, leading architecture initiatives, designing and overseeing implementation of solutions for BioPharma R&D, managing Engineering teams, enhancing reuse with platforms and frameworks, collaborating with business users, driving scope definition, and ensuring delivered solutions meet technical and functional requirements. Desired skills and expertise for this position include experience in big data engineering, cloud and DevOps automation, application development with modern tech stacks, and proficiency in Machine Learning and AI. Excellent communication skills and the ability to work in multidisciplinary teams are also essential. We are seeking individuals with educational qualifications such as a Bachelors, Masters, or Ph.D. in Computer Science or a related technical field to join our dynamic team at Aganitha. If you are passionate about making a difference in drug discovery and development, we invite you to join us in our mission to bring out your best and be limitless!,

Exp: 14- 18 yrs Location: Bangalore Np: 30 Days

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 The Role This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions.This is a phenomenal opportunity to work in an outstanding company like AMD. The Person You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. Key Responsibilities Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Benefits offered are described: AMD benefits at a glance. ,

Job Description/Preferred Qualifications Responsibilities: Technical: Responsible for software development activities using Java and C#/C++ Good debugging skills in a complex software setup involving multi-process/multiple systems in Windows/Java environment with good OS concepts Good with SW design skills/architecture Optional skills : Knowledge working with HPC, Linux, Win32 understanding Acquire and demonstrate technical knowledge of inspector software Participate in end to end product development lifecycle activities Acquire knowledge of key use cases in defect inspection using SWIFT tools. Team work / soft skills and others: Leading/working together productively in a team setup with other team members Keenness to learn new technology and see how they can be a suitable fit to the existing product Collaborate with teams across different geographical zones to develop / deliver software solutions Being flexible with work timings, attending to technical discussions with business team/peer teams across the globe Work across groups including systems/hardware, marketing, applications and manufacturing on all aspects of software project including requirement definition, design, development, deployment, support and service Understand and apply software development best practices Travel to other KLA sites and customer sites on a needed basis Qualifications: BE/BTech/MS/MCA/MTech with 5+ years of SW development experience. Minimum Qualifications: Strong in programming fundamentals, Java / .NET and C#/C++ with good software design exposure. Good analytical and problem-solving abilities Thorough knowledge of SDLC and software engineering Strong verbal and written communication and team-work skills Come across as an integrator/energizing/captivating person helping achieve divisional goals. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee.