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Tier-1 brand, metro locations, and mid-level experience increase applicant competition.
Specialized GPU and system software expertise reduces cross-industry transferability.
Explicit 4+ years and mandatory low-level systems and programming skills make shortlisting strict.
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Design, implement, and verify GPU performance metrics and profiling data collection methodologies.
Develop and enhance GPU profiling libraries and tools for high-performance computing platforms.
Collaborate with hardware architecture teams to co-design software libraries and maintain quality via unit tests across platforms from supercomputers to embedded systems.
B.Tech in EE/CS with 4+ years experience or M.Tech with 2+ years or Ph.D.
Strong proficiency in C, C++, Python programming and data structures & algorithms.
Solid understanding of Computer Architecture (x86, ARM CPUs, GPUs) and OS concepts.
Work Experience Required: Minimum 2 years (M.Tech) or 4 years (B.Tech) as specified.
Experience in device drivers or system software development related to GPUs.
Familiarity with GPU APIs like CUDA, OpenCL, OpenGL, Direct3D, Vulkan and performance analysis of GPU applications.
Ability to understand hardware specs and write low-level (assembly) code for multi-processor architectures.