Job Description AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you're working with the best and are encouraged to learn and experiment daily, there's no better place — guaranteed! :) What you will do Develop efficient parallel algorithms that can accelerate data processing applications on servers with accelerated computing hardware; Research advances in accelerated computing hardware and development tools, and ensure algorithms take maximal advantage of the capabilities of the platform; Characterize the performance of application workloads and benchmarks and optimize implementations; Implement, develop, and maintain code generation and runtime software in support of end-to-end application compilation and execution; Develop, maintain, and support production software. Must haves B.S. EE/CS or equivalent with 4+ years of experience or MS with 2+ years experience; Experience working with GPU API's and tools such as: OpenCL, gpucc, nvcc. CUDA (CUDA is a hard must); Prior experience in performance analysis, particularly of GPU applications; Solid understanding of computer architecture (e.g.: x86, ARM CPUs, GPUs); Experience working on Linux, knowledgeable about Linux OS, kernel, device driver model. Nice to haves Strong programming ability in C, C++. Rust experience a strong plus. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Requirements B.S. EE/CS or equivalent with 4+ years of experience or MS with 2+ years experience; Experience working with GPU API's and tools such as: OpenCL, gpucc, nvcc. CUDA (CUDA is a hard must); Prior experience in performance analysis, particularly of GPU applications; Solid understanding of computer architecture (e.g.: x86, ARM CPUs, GPUs); Experience working on Linux, knowledgeable about Linux OS, kernel, device driver model.
