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Tier-1 employer and metro location create moderate competition for this mid-level, niche systems role.
Requires niche GPU, OS, and low-level systems expertise, limiting cross-industry transferability.
Explicit 4+ years and strict low-level systems skillset make shortlisting highly selective.
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Design, implement, and verify performance metrics and profiling methodologies for NVIDIA GPUs in collaboration with cross-functional teams.
Develop and enhance GPU profiling libraries and software supporting a range of platforms from supercomputers to embedded systems.
Translate hardware specifications into software solutions and ensure product quality through unit testing and framework development.
B.Tech in EE/CS or equivalent with 4+ years experience, or M.Tech with 2+ years, or Ph.D.
Strong proficiency in C, C++, and Python with solid understanding of Data Structures and Algorithms.
Deep knowledge of Computer Architecture (x86, ARM CPUs, GPUs) and Operating Systems concepts.
Experience in software design principles relevant to scalable system software development.
Experience in device drivers or system software development with direct GPU API knowledge (e.g., CUDA, OpenCL, Vulkan).
Demonstrated ability in performance analysis of GPU applications and authoring developer tools targeting GPUs.
Capability to work from hardware specs to software implementation, including proficiency in Assembly language for multi-processor systems.