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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 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. Our client 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. Our 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 world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Responsibility:
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 platform’s capabilities
Requirements:
Master’s degree in Computer Science or a related field, or Bachelor’s degree in Computer Science (or related) with at least 3 years of hands-on web application development experience
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 deployment
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 code
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 clearly
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 grows
Nice to have:
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 platform’s context
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 processes
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