Analyst - Algorithm Research & Development in Chennai, भारत

Description : Company : Enormous Enterprise https://jobeax.com/link/Krp7TM1b6UQdRvBn : Chennai, Tamil Nadu, https://jobeax.com/link/7jj16VKGCVqdXNSJ : https://jobeax.com/link/9Guz4Xc6miDVzHn5 : Analyst, Algorithm Research & Development (CUDA).Job Summary : Our Client is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our https://jobeax.com/link/kh2YfIHYkSLwNksq laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without https://jobeax.com/link/LtybcG5VCmviyH1B client invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel https://jobeax.com/link/otZ3EAAF8Q99tVAx innovative ideas and devices that are advancing humanity all begin with inspiration, research and https://jobeax.com/link/quKZNw95oJ2D19NG Client 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 worlds leading technology providers to accelerate the delivery of tomorrows electronic https://jobeax.com/link/kxs3xMWUcDiTQsO3 here is exciting and our teams thrive on tackling really hard https://jobeax.com/link/JUP81jBHGAmXO2XP is never a dull moment with https://jobeax.com/link/Vhb9G3mvyyppCUQI Responsibilities :- Develop algo focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models.- Stay updated with emerging technologies and industry best practices.- Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platforms https://jobeax.com/link/2J2QZURYIiOPgV08 Qualifications :Education : - Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with at least 3 years of hands-on web application development https://jobeax.com/link/6sJyHYEbWQH22DWl : - Minimum 3+ years of professional algo development experience focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models.- Proven track record of delivering software projects from design to https://jobeax.com/link/gGqy7Yi6hmbMbA3e Skills : - Deep understanding of operating systems, computer networks, and high performance applications.- Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators.- Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures.- Strong background in modern and advanced C++ concepts.- Strong Scripting Skills in Bash, Python, or similar.- Good communication with the ability to write clean, efficient, and well-documented https://jobeax.com/link/pTwnoE4K6au6ICsU Collaboration : - Strong communication skills and ability to work effectively in a cross-functional team setting.- Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas https://jobeax.com/link/KRumfORuVusVi6DD : - A willingness to learn new technologies and adapt to evolving project requirements.- Enthusiasm for working in a dynamic, fast-changing environment where priorities may shift as the project https://jobeax.com/link/ih7o58TS2tuAnvDC Qualifications (Nice-to-Haves) :HPC/Simulation Background : - Experience working on projects involving scientific computing, simulations, or HPC applications.- Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platforms https://jobeax.com/link/JpcQDgusoZWstCBN & CI/CD : - Hands-on experience with DevOps tools and workflows.- Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions to automate build and deployment https://jobeax.com/link/sAmhYGgpU9FVfbpD & Cloud : - Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus.- Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments. (ref:hirist.tech)