3 Highperformance Computing Jobs

As a highly accomplished and motivated individual with a distinguished record of academic achievement and a demonstrated commitment to excellence in teaching, research, and institutional service, you are sought for a position in Computer Science. This opportunity is open to candidates specializing in various areas such as Artificial Intelligence and Machine Learning, Theoretical Computer Science, Computer Systems, Databases and Information Retrieval, Computer Graphics and Vision, Software Engineering, Cybersecurity, High-Performance Computing, Human-Computer Interaction, and Algorithms. Your responsibilities will include developing and delivering engaging and rigorous courses at the undergraduate and postgraduate levels. You should utilize innovative teaching methodologies, mentor and supervise student projects, contribute to curriculum development, conduct high-quality research, publish in leading conferences and journals, secure research grants, supervise doctoral students, and actively participate in departmental committees. Additionally, you are expected to contribute to the intellectual environment of the department, engage with the broader academic and research community, participate in institute-level committees, stay updated on research trends, foster collaborations, and undertake other academic and administrative responsibilities as assigned. Overall, your role will involve a combination of teaching, research, and service activities, all aimed at enhancing the academic and research environment of the department and contributing to the governance of the institution. Your commitment to continuous learning, professional development, and collaboration with colleagues will be essential in fulfilling the responsibilities of this position.,

You are an experienced Lead Generative AI Engineer responsible for training, optimizing, scaling, and deploying various generative AI models including large language models, voice/speech foundation models, vision, and multi-modal foundation models using cutting-edge techniques and frameworks. Your role involves architecting and implementing state-of-the-art neural architecture, robust training, and inference infrastructure to efficiently take complex models with billions of parameters to production while optimizing for low latency, high throughput, and cost efficiency. Your key responsibilities include: - Architecting and refining foundation model infrastructure to support optimized AI models deployment focusing on C/C++, CUDA, and kernel-level programming enhancements. - Implementing optimization techniques like quantization, distillation, sparsity, streaming, and caching for model performance enhancements. - Spearheading the development of Vision pipelines to ensure scalable training and inference workflows of billions of parameter foundation models. - Innovating for state-of-the-art architectures involving Panoptic Segmentation, Image Classification, and Image Generation. - Designing, developing, and innovating state-of-the-art large multimodal models. - Executing training and inference processes to minimize latency and maximize throughput utilizing GPU clusters and custom hardware. - Integrating and tailoring frameworks like PyTorch, TensorFlow, DeepSpeed, Lightening, FSDP, and Habana for fast model training and inference. - Enhancing post-deployment mechanisms with exhaustive testing, real-time monitoring, and robustness checks. - Driving continuous improvement initiatives for deployed models with automated pipelines for drift detection and performance degradation. - Leading the charge in model management including version control, reproducibility, and lineage tracking. - Cultivating a culture of high-performance computing and optimization within the AI/ML domain. Qualifications: - Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or related fields. - Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, and kernel-level programming for AI applications. - Extensive experience in optimizing training and inference for large-scale AI models. - Understanding of Diffusion Models, Variational Autoencoders, Bayesian Modelling, and Reinforcement Learning is beneficial. - Experience in building billions of parameters generative AI foundation models. - Proven success in deploying optimized ML systems on a large scale using cloud infrastructures and GPU resources. - In-depth understanding and hands-on experience with advanced model optimization frameworks and MLOps tools. - Familiarity with contemporary MLOps frameworks and their application in production environments. - Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimization methodologies. - Innovative problem-solving skills and collaborative mindset. - Exceptional communication and team collaboration skills.,

YES (Yield Engineering Systems, Inc.) is a leading manufacturer of reliable, high-tech, cost-effective capital equipment that transforms materials and surfaces at the nanoscale. From startups to the Fortune 50, our customers rely on YES to help them unleash products that change lives from cell phones and IoT devices to AI and virtual reality, to diagnostic tests for COVID. As a preferred provider of wet and dry process technology, we look forward to talking with smart, energetic, team-oriented people who can grow with us. We provide competitive salaries and benefits, including long-term incentives and some of the best co-workers youll find anywhere. If this appeals to you, please read on! Job Title: CAE Engineer Location: Coimbatore. Responsibilities include but are not limited to: Develop models and simulations of semiconductor process equipment to derive actionable insights and information to optimize performance Collaborate with engineers and scientists to apply and test these simulations Develop innovative methods and applications such as hybrid digital twins, generative design, etc. Write detailed technical reports and presentations of simulation methods and results Train other engineers and scientists in the use of simulation software or models Minimum Qualifications : Masters in mechanical engineering, aerospace engineering, chemical engineering, materials science or related field where training in computer-aided engineering and CFD is part of the curriculum Professional experience with CFD software, including ANSYS, Fluent, Star-CCM+, etc. Experience with CAD software, including SolidWorks, Creo, CATIA, NX, AutoCAD, etc. is desirable Strong understanding of fluid mechanics, heat transfer, and mechanical stress principles Ability to interpret and analyze data Excellent problem-solving, communication, presentation, and interpersonal skills Preferred Qualifications : PhD degree in mechanical engineering or related field CFD certification, such as from the American Institute of Aeronautics and Astronautics Experience with programming languages, including C++, Fortran, Python, etc. Experience with high-performance computing (HPC) systems Compensation: YES offers a stimulating and fun working environment, competitive salaries and benefits, and long-term incentives. Additional Information: YES is an equal opportunity employer and values diversity. All employment is decided on the basis of qualifications, merit and business need. Come find out why YES is such a great place to work. Apply today!,