Senior Software Architect

3 days ago


Bangalore, India Mulya Technologies Full time

Senior GPU Software Architect Bangalore / Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. Senior GPU Software Architect Department: GPU Architecture & Software Systems Experience Level: 15+ years in GPU, AI/ML, and Compiler Architecture As a Senior GPU Software Architect, you will lead the design and development of the complete software ecosystem for our novel GPU backend. This includes compilers, drivers, runtimes, cloud integration, and AI frameworks designed to support next-generation AI workloads and graphics. Lead the end-to-end architectural design and implementation of the GPU software stack, from compilers to drivers to runtimes, for AI training/inference and advanced graphics. · Collaborate intensively with hardware architects and engineers to execute hardware-software co-design strategies that maximize performance and efficiency. · Create scalable and flexible software frameworks for emerging AI workloads, including LLMs, foundation models, and multi-GPU training clusters. · Architect GPU drivers supporting modern graphics APIs, ray tracing, and ML acceleration with a startup’s agility and focus on quality and innovation. · Design multi-GPU and cloud-native frameworks optimized for containerized AI training and inference workloads. · Drive innovative patent creation and develop novel software/hardware interaction techniques that differentiate our product in a competitive market. · Solid 15+ years in GPU software architecture or AI accelerator software development, ideally with startup or product innovation experience. · Expert-level understanding of graphics pipelines, ray tracing, and AI workloads including LLMs, diffusion models, and tensor computations. · Hands-on experience with compiler infrastructure (LLVM, MLIR, Triton, TVM, PyTorch) and GPU code generation. · Practical experience in GPU driver development covering user-space and kernel-space components. · Strong hardware knowledge of GPU compute units, memory hierarchy, interconnects (NVLink, PCIe), and multi-GPU scaling. · Experience with GPU programming models (CUDA, HIP, SYCL) and AI frameworks (PyTorch, TensorFlow). · Knowledge of cloud-native architecture for GPU workloads, including container orchestration, virtualization, and multi-tenant GPU sharing. · Demonstrated innovation through patents or research publications in GPU/AI software or hardware/software co-design. · Proficiency in C++, Python, and system-level programming. --- Experience building GPU software stacks in small/agile teams or startups. · Familiarity with low-precision numeric formats (MXFP4, FP8, BF16) and their use in ML workloads. · Prior involvement with GPU bring-up, simulator development, or performance profiling. · in Computer Engineering, Computer Science, or Electrical Engineering. --- The opportunity to architect the foundational software for a game-changing GPU product aimed at disrupting the industry leaders. · Hands-on collaboration with visionary hardware and software engineers to build a world-leading AI GPU platform. · Mining the Knowledge Community"



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