Computational Software Architect - Chennai | Zoek India
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Computational Software Architect
Chennai, Tamil Nadu
Permanent (Full time)
Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worldâs leading technology providers to accelerate the delivery of tomorrowâs electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLAâs metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it. About KLA Advanced Computing Labs, India: KLA advanced computing Labsâ mission in India is to deliver advanced parallel computing research and software architectures for AI + HPC + Cloud solutions to accelerate KLAâs product performance. This team explores high-risk approaches, pioneering technologies, and novel methods to accelerate KLAâs algorithms and contribute to KLAâs HPC technology roadmap. We engage leading thinkers in academia, industry and KLAâs business units to create innovative parallel computing methods to enable KLAâs business growth. Computational Software Architect, KLA ACL, India We are seeking a technical, hands-on Computational Software architect to work with our algorithm research team. This is a technical hands-on role that requires equal focus on research, reference implementation, productization and a technical leadership role that requires influencing and collaborating with various product teams. This team researches in low-level GPU based optimization, FPGA based acceleration, ASIC based methods, alternate architectures, optimizing compute & data heavy algorithms, radical new compute acceleration technologies and other novel combinations of multiple high-performance compute methods. This team also engages in researching low-level application specific secure computing architecture to protect KLA proprietary data streams & stores. Essential Job Duties and Responsibilities Ensure âsystems level performanceâ for KLA applications: One of the key responsibilities of the computational architect will be to ensure âSystem Levelâ performance is met from the âApplication Stackâ through the âKernel Stackâ. Must build a comprehensive theoretical âPerformance Modelâ for the whole system that allows one to map algorithms to the architecture. Work closely with the companyâs experienced System architects in other locations to ensure a consistent vision is enabled. Implements critical high-performance reference implementations, experiments and provides proof-of-concept with emerging technologies, while developing enterprise-wide architectures, standards, design guides, processes, and other reference guides in a leadership role. Leads creation of and is accountable for system design documentation, including enterprise architectures, feature designs and interface specifications. Oversees detailed technical designs created by development teams. Participating in code reviews, design reviews, architecture discussions Essential Skills Mastery of modern computational stack from low level to high level: The candidate must have a clear mental model of the modern computational model on modern CPU or GPUs that include multi-core, SIMD or SIMT as well as memory access patterns. Ability to visualize and architect computationally intensive algorithms for execution on computing clusters. Must have a experience in one of the following application areas: Image or Signal Processing, Machine Learning, HPC Simulations. Ability to come up to speed on quickly on emerging technologies and methods. Must be comfortable working in fuzzy environments â where boundaries arenât clearly defined. Preferred Skills A few ways to stand alone from the crowd: Background in Image Processing / Computer Vision / video accelerators Experience in Tensorflow ML stack and a complete understanding of the API at the Python level and the C++ level as well as the âtheory of operationsâ of the of Linux Systems Programming model: The candidate must have a clear grasp of all the core elements of the Linux operating system including the scheduler, memory management, file and network understanding of hardware and its implications on software in HPC, cloud infrastructure and AI solutionsParallel computing optimization (CUDA, AVX2) or TensorFlow, PythonActive in opensource / . Requirements : Education: BS with Computer Science/EE/Physical Sciences Industry Experience: BS with 8+ years, or MS with 5+ years, or PhD with 3+ years in HPC related areas.