136 Mpi Jobs - Page 6

*“Our Motive : Hum Se Aage Hum…. Be Unlimited”* --- Job Discription ‼️ *Post: - Retail Partner/IC* ‼️ *Role and Responsibilities* : - The ideal candidate will be responsible for overseeing all the areas of operations including recruitment, training , business operation, management and team leading. ▫ Salary : Pay On + incentives ▫ Recruitment Process : Interview + IRDAI Exam + OJT ▫ IRDAI Exam Center: NSE-IT Center(Near your Location) ▫ Location: This hiring is being Done for Kolkata Branch head Office ▫ Office Working Days : 5 Days(Monday to Friday) Working Time : 9:30 AM to 5:00 PM T&C : ▪ This Job is work from home / Work From Office and Basic + Allowance + DBI + MPI Incentive job. ▪ If you get selected in interview then your next step will be exam of IC Company Benefits : ▪ Provident Fund ▪ Medical Benefit ▪Zero Pressure. ▪ Incentives(Unlimited) ▪ Official Tour (National/International) ▪ Gift and Certificates Note : ▪ Join 5 minutes before to Interview ▪ Video must be ON & keep Mute( join Audio click on cellular data and join then mute) ▪ Rename your device name as per resume ▪ Make insure your proper internet connection ▪ Required Language : English & Hindi. ▫ Confirm Your Availability Here

1. Perform different types of NDT methods, such as ultrasonic, radiographic, magnetic particle, liquid penetrant, eddy current, and visual testing. 2. specific knowledge, equipment Required Candidate profile 3. interpret defects, flaws, or irregularities in the objects being tested. 4. excellent problem-solving skills to deal with complex and unpredictable situations that may arise during the NDT process

We are looking for a quality engineer in stainless steel with an NDT Level-II Certificate. Perform or review NDT tests. Internal & external audits. Resolve quality issues of capability, tolerancing, and materials-related issues.

Design, develop, and optimize HPC applications, cloud-based solutions, and infrastructure for compute-intensive workloads. Manage HPC clusters, AI/ML integration, and parallel computing. Ensure performance tuning, and drive cloud-HPC innovations. Required Candidate profile HPC Engineer with 5-10 years Exp in cloud and HPC solutions, expertise in AI/ML, GPU programming (CUDA, OpenMP, MPI), Azure, Linux, storage, networking, and performance tuning.

Role & responsibilities Primary Job Responsibilities To control all shop floor activities i.e receipt / inprocess / final inspection. To co-ordinate with concern department & plan QA activities to meet organisation targets. Involvement in development parts, Participating in regular staff meetings to discuss quality issues and concerns Conducting training sessions on quality control methods and techniques to ensure that all employees are familiar with best practices Ensuring processes to avoid rew-rejection, Ensuring effectiveness of daily CAP initiated to minimise NCRs, Ensuring effectiveness of CAP initiated against customer NCRs, To ensure identification & traceability of material inprocess as per process sheet & defined in quality system. To ensure proper condition & calibration status of measuring instruments being used on shop floor To ensure records are being maintained as per quality system. To optimise the inspection methods by means of new gauges, instruments, fixtures, softwares etc. To Identify quality assurance process bottleneck and suggest actions for improvement To verify painting process, air hydro testing done as per requirements/ WI, To monitor & control NDT testing done on shop floor & ensure proper recording of it. Knowledge & Abilities Good knowledge of QMS, IMS system Good knowledge & Qualification in NDT - LP,MPI,RT,VT Good knowledge of manufacturing processes Good knowledge of Pump as product Good Knowledge of Motors & accessories used Pump Experience Needed 8-10+ Experience in field of manufacturing in Pump industry Soft Skills & Proficiency Level Leadership - Intermediate Managing Team - Intermediate Technical competency- Intermediate Decision making- Intermediate Critical thinking & problem solving - Intermediate Preferred candidate profile Perks and benefits

Design, deploy and configure HPC Clusters including compute, storage and networking components. Installation requests on HPC, application upgrades, and troubleshooting processes in coordination with users, software vendors and OEM. Administer job schedulers (e.g., Slurm), manager user access, monitor health and troubleshoot system issues on both on-prem and Cloud. Optimize HPC workloads, tune resource utilization and benchmark system performance. Install and maintain HPC hardware, software stacks, compliers, libraries (e.g., MPI, OPENMP) and custom tools. Configure VM, Storage and servers on cloud. Assist users in optimizing and running applications on the cluster & cloud, including guidance. Ensure System stability through regular updates, proactive monitoring and software/hardware troubleshooting. Responsibilities Supervise day-to-day support operations for HPC and Cloud team by supporting ticket SLA adherence. Manage support ticket systems, primarily using internal IT tools. Ensure timely resolution of user issues related to CAE applications in HPC & Cloud. Plan, schedule, and oversee application upgrades and installations. Collaborate with internal teams and external vendors to ensure seamless issue resolution. Generate detailed performance reports monthly, analyzing key trends and areas for improvement. Technical Skills: Operating Systems: Expertise in Linux (RHEL CentOS, Ubuntu) HPC Tools and Frameworks: 1. Job Schedulers: Slurm, PBS & Sync-HPC 2. Parallel Programming: MPI, OPENMP, CUDA 3. Scripting: Python, Bash and Optionally C/C++ Cloud: Knowledge in AWS, GCP & Azure with HPC toolkits, VM & Object storage creation. Networking: Knowledge of high-speed networks (InfiniBand, RDMA, Ethernet) Storage Systems: Experience with parallel file systems (Lustre, NFS) Hardware: Familiarity with HPC specific hardware wit, RAM, CPU & GPU Certifications Any Cloud Solution Architect Certificate (Preferred GCP) RHEL Certified System Administrator (Preferred)

Job Description Summary We are seeking a highly motivated and technically proficient Lead Engineer to join our team at GE Aerospace, Bangalore. This role is focused on developing and enhancing high-fidelity Large Eddy Simulation (LES) solver for GPUs. The candidate will collaborate with a global team to push computational boundaries, ensure robust solver performance, and implement state-of-the-art numerical techniques in design workflows. The role emphasizes expertise in software development technologies, high-performance computing (HPC), and integration into advanced design processes. Job Description Essential Responsibilities Collaborate with the global development team to implement advanced numerical schemes and features for code acceleration and robustness improvements Conduct validation and verification of CFD methods using experimental data and high-fidelity numerical solutions. Optimize and parallelize CFD codes for high-performance computing environments, including multi-core CPUs and GPUs. Collaborate across teams to integrate CFD capabilities into design workflows for improved accuracy, efficiency, and robustness. Leverage digital and machine learning techniques to enhance solver capacity and performance. Stay current with developments in CFD software development technologies and numerical methods, proposing innovative solutions to improve existing capabilities. Document and share lessons learned in relevant technical forums. Provide mentorship and technical guidance to junior engineers and interns. Ensure adherence to internal standards for software development and computational methods. Required Qualifications Masters + 3 years of industrial experience or Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related field with a focus on computational fluid dynamics or fluid mechanics. Strong programming skills in C++ and Python. Experience with parallel programming (MPI, OpenMP) and high-performance computing environments. Solid understanding of numerical methods and high-order methods for CFD (Finite Element, Finite Volume) and numerical methods for PDEs. Familiarity with GPU programming (CUDA, HIP) is a must. Experience with version control systems (Git, GitHub/Bitbucket). Knowledge of optimization and uncertainty quantification techniques. Strong analytical and problem-solving skills. Excellent communication and technical writing skills. Ability to work collaboratively in a global team environment. Desired Characteristics Experience in developing and applying CFD methods for aerodynamic design and analysis. Familiarity with turbulence models, wall models and transition models in CFD. Familiarity with modern Fortran. Hands-on experience with commercial and 3rd party software such as ANSYS, Tecplot, ParaView, and OpenFOAM.

Role & responsibilities Oil & Gas Parts inspection and report preparation. Preferred candidate profile Having experience minimum 4 years with Diploma should have certification in ASNT Level II Knowledge of ASTM standard. Perks and benefits Salary best in Industry

About The Role : Are you passionate about exploring computer architecture for AI? Are you excited about squeezing every cycle of performance through software optimizations? We are seeking world-class software developers and performance architects to join us and optimize open source AI frameworks, libraries and models on Intel accelerators. In this role, you will have opportunity to democratize AI by working with hundreds of thousands smart developers in open ecosystem and make a big technical impact in open source AI frameworks and libraries such as PyTorch, HuggingFace, JAX, vLLM etc. What You'll Be Doing- Craft the design to get Intel accelerators/GPUs/CPUs optimized in open source AI frameworks. Performance modelling, profiling, debug, and code optimization with architectural knowledge of hardware- Develop highly optimized deep learning kernels for Intel accelerators/GPUs/CPUs.- Interact with multiple technologists in the company to influence architectures and optimize/customize software offerings.- Explore and expand the boundary of innovative technologies for peak performance. Qualifications You are good at:- Master, PhD or equivalent in relevant fields (Computer Science, EE, Math)- 12+ years of relevant working experience- Strong programming skills in C, C++, and Python- Familiar with GPU architecture and GPU programming- Experience with designing software architecture, interfaces and abstraction- Excellent written and oral communication skillsExtra Awesome:- Background with deep learning fundamentals, frameworks, graph compilers, LLVM, MLIR etc.- Experience in developing/optimizing deep learning frameworks such as PyTorch , TensorFlow, JAX etc.- Familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering- Track record of leading a project and mentoring junior engineers.- Track record of maintaining or contributing to open source projects. Inside this Business Group The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world. Position of Trust This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Job Title: Lead Consultant - HPC Application Engineer Career Level: E Introduction to role Join our dynamic Research Data & Analytics Team within R&D IT, a global group of skilled data and AI engineers dedicated to revolutionizing the way we discover and develop medicine. Our mission is to partner with scientific teams to deliver innovative capabilities, products, and platforms that accelerate the development of safe and effective medicines for patients. Scientific Computing Platform The Scientific Computing Platform (SCP) is a key component of our efforts, providing high-performance computing (HPC) solutions that support computational chemistry, imaging, multi-OMICs, structural biology, data science, and AI. About The Platform The SCP team provides the high-performance computing (HPC) platform and optimised applications on which scientists build their workflows. We are driven to accelerate scientific discovery, and achieve this through rapid deployment of applications, optimisation of complex workflows and application tuning for very large problems. An overarching principle is to maximise the impact of the team's support efforts. We are seeking a passionate HPC engineer focussed on applications and research software engineering. The ideal candidate will have extensive hands-on experience making an impact with HPC technology, delivering HPC services to a high quality, and able to relate to the scientific community and work closely with users to make the best use of research computing services. The HPC landscape is continually evolving. You will need the skills to help build, optimise and operate industry-leading capabilities, including application build frameworks, containerised applications and cloud software-as-a-service. Automated deployment is a key feature of your work and you will need to be comfortable with DevOps processes and delivering consistency through automation and infrastructure-as-code. A strong focus of the role will also be working directly with scientific users to help them optimise and productionise their code and make best use of the facility. Accountabilities As an HPC Application Engineer, you will be responsible for developing, delivering, and operating research computing services and applications. You will take a Site Reliability Engineering approach to manage the end-to-end development, deployment, monitoring, and incident response of HPC services. Your role will involve solving complex technical problems related to SCP applications and services, as well as assisting users in debugging and optimizing their workflows and applications. You will work closely with scientific users to help them optimize and productionize their code, ensuring they make the best use of our research computing services. Essential Skills/Experience Scientific application installation, optimisation and configurationEffective use of HPC job schedulers such as SLURMExperienced working in a Linux environmentCompetent in multiple programming and scripting languages from the following list: python, R, Shell Scripts, C/C++, Golang, and deep expertise in at least one of themDeep understanding of the factors influencing HPC application performanceHighly customer focused; able to explain IT technical concepts in a manner which non-IT experts can understand Desirable Skills/Experience Scientific degree, and/or experience in computationally intensive analysis of scientific dataPrevious experience in high performance computing (HPC) environments, especially at large scales (>10,000 cores)Experience with high performance parallel filesystems at petabyte scale, e.g. GPFS, LustreHands-on knowledge of a range of scientific and HPC applications such as simulation software, bioinformatics tools or 3D data visualisation packagesExperience with software build frameworks such as Easybuild or SpackExpertise in GPU, AI/ML tools and frameworks (CUDA, TensorFlow, PyTorch)Strong understanding of parallel programming techniques (e.g. MPI, pthreads, OpenMP) and code profiling/optimisationExperience with workflow engines (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions)Familiarity with container runtimes such as Docker, Singularity or enrootExpertise in specific scientific domains relevant to early drug development, such as deep learning, medical imaging, molecular dynamics or 'omics.Experience with frameworks for regression tests and benchmarks for HPC applications, like Reframe HPCExperience with working in GxP-validated environmentsExperience administering and optimising a HPC job scheduler (e.g. SLURM)Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit)Experience deploying infrastructure and code to public cloud, especially AWSHands-on experience working in a DevOps team and using agile methodologies At AstraZeneca, we demonstrate technology to impact patients' lives directly by transforming our ability to develop life-changing medicines. We empower our teams to perform at their peak by combining cutting-edge science with leading digital technology platforms and data. Our dynamic environment encourages innovation and ownership, providing countless opportunities to learn and grow. Join us in our mission to reinvent the industry and make a meaningful impact on the world. Ready to make a difference? Apply now!

Job Description Summary Drive quality for assigned suppliers, including quality plan implementation. Select suppliers through qualification processes. Own supplier results, drive improvements utilizing supplier scorecards. Own supplier audits, ensuring compliance, and driving improvement plans where needed. Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market Job Description Essential Responsibilities: As a QA Inspector You Will Perform Visual, dimensional, NDT (UT, DP, MPI etc.), Hardness testing inspection of turbine castings (HP/IP/LP turbine casings, valve casings, blade carriers etc.), and other components such as Turbine bearings. Perform NDT inspections such as Ultrasonic Inspection, MPI Inspection, Dye Penetrant inspection. Should have hands on experience to perform NDT with own hands, referring to ASME/EN / GE’s/other standards. Perform review of supplier’s documents such as manufacturing Process Plan (MPP), NDT procedures, NDT (UT) Scan plan. Also perform review of supplier’s Quality documents (internal reports) with respect to GE drawings and technical specifications. Perform witness of material testing in lab such as Tensile test, impact test, micro-structure etc. Prepare Inspection report and maintain documentation for inspections performed. Prepare Non-Conformance Reports, and able to perform RCA for the quality issues Perform joint inspection witness with GE’s customers like NTPC as per Quality Plan. Co-ordinate with external Suppliers, Project Quality manager, GE’s customer and other GE stakeholders like Sourcing, Engg and Project management. Qualifications/Requirements B.E.- Mechanical engineering (minimum 10 years’ experience) Must have NDT Level II in PT, MT and UT (NDT Level III in UT is preferred). Ability to use metrology instruments to accurately perform inspections (with tolerances in microns) such as CMM, micrometers, large bore- gauges (> 1m), etc. Working knowledge of manufacturing processes involved in the production of the intended assigned equipment mainly casting, (and machining, assembly, NDT, as applicable). Experience in reading and interpreting Engineering drawings, Codes, specifications to verify that products are following the requirements set forth in these documents. Extensive out-station travel to supplier’s place will be required to perform the inspections. Desired Characteristics Good Inspection experience with Turbine castings and other components Proven ability to document and follow proper procedures and work-instructions related to inspections. Proven ability to work independently. Strong written and oral communication skills. Proven ability to be flexible and adapt to change. Additional Information Relocation Assistance Provided: Yes Show more Show less